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235
we now have more than 2000 public AI models using ModelHubMixinπ€
Team Tonic
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ZennyKennyΒ
posted
an
update
1 day ago
Post
270
On-demand audio transcription is an often-requested service without many good options on the market.
Using Hugging Face Spaces with Gradio SDK and the OpenAI Whisper model, I've put together a simple interface that supports the transcription and summarisation of audio files up to five minutes in length, completely open source and running on CPU upgrade. The cool thing is that it's built without a dedicated inference endpoint, completely on public infrastructure.
Check it out: ZennyKenny/AudioTranscribe
I wrote a short article about the backend mechanics for those who are interested: https://huggingface.co/blog/ZennyKenny/on-demand-public-transcription
Using Hugging Face Spaces with Gradio SDK and the OpenAI Whisper model, I've put together a simple interface that supports the transcription and summarisation of audio files up to five minutes in length, completely open source and running on CPU upgrade. The cool thing is that it's built without a dedicated inference endpoint, completely on public infrastructure.
Check it out: ZennyKenny/AudioTranscribe
I wrote a short article about the backend mechanics for those who are interested: https://huggingface.co/blog/ZennyKenny/on-demand-public-transcription
prithivMLmodsΒ
posted
an
update
1 day ago
Post
1437
ChemQwen-vL [ Qwen for Chem Vision ] π§π»βπ¬
π§ͺModel : prithivMLmods/ChemQwen-vL
πChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: https://iupac.org/projects/
πColab Demo: https://tinyurl.com/2pn8x6u7, Collection : https://tinyurl.com/2mt5bjju
Inference with the documentation is possible with the help of the ReportLab library. https://pypi.org/project/reportlab/
π€: @prithivMLmods
π§ͺModel : prithivMLmods/ChemQwen-vL
πChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: https://iupac.org/projects/
πColab Demo: https://tinyurl.com/2pn8x6u7, Collection : https://tinyurl.com/2mt5bjju
Inference with the documentation is possible with the help of the ReportLab library. https://pypi.org/project/reportlab/
π€: @prithivMLmods
- 1 reply
Post
1169
ππ»ββοΈ Hey there folks ,
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Post
2208
ππ»ββοΈHey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group :
Tonic/Lucie-7B hope you like it π
Post
3635
Published a new blogpost π
In this blogpost I have gone through the transformers' architecture emphasizing how shapes propagate throughout each layer.
π https://huggingface.co/blog/not-lain/tensor-dims
some interesting takeaways :
In this blogpost I have gone through the transformers' architecture emphasizing how shapes propagate throughout each layer.
π https://huggingface.co/blog/not-lain/tensor-dims
some interesting takeaways :
prithivMLmodsΒ
posted
an
update
9 days ago
Post
2967
200+ f{π€} on Stranger Zone! [ https://huggingface.co/strangerzonehf ]
β€οΈβπ₯Stranger Zone's MidJourney Mix Model Adapter is trending on the Very Model Page, with over 45,000+ downloads. Additionally, the Super Realism Model Adapter has over 52,000+ downloads, remains the top two adapter on Stranger Zone!
strangerzonehf/Flux-Midjourney-Mix2-LoRA, strangerzonehf/Flux-Super-Realism-LoRA
π½Try Demo: prithivMLmods/FLUX-LoRA-DLC
π¦Most Recent Adapters to Check Out :
+ Ctoon : strangerzonehf/Ctoon-Plus-Plus
+ Cardboard : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Claude Art : strangerzonehf/Flux-Claude-Art
+ Flay Lay : strangerzonehf/Flux-FlatLay-LoRA
+ Smiley Portrait : strangerzonehf/Flux-Smiley-Portrait-LoRA
π€Thanks for Community & OPEN SOURCEEE !!
β€οΈβπ₯Stranger Zone's MidJourney Mix Model Adapter is trending on the Very Model Page, with over 45,000+ downloads. Additionally, the Super Realism Model Adapter has over 52,000+ downloads, remains the top two adapter on Stranger Zone!
strangerzonehf/Flux-Midjourney-Mix2-LoRA, strangerzonehf/Flux-Super-Realism-LoRA
π½Try Demo: prithivMLmods/FLUX-LoRA-DLC
π¦Most Recent Adapters to Check Out :
+ Ctoon : strangerzonehf/Ctoon-Plus-Plus
+ Cardboard : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Claude Art : strangerzonehf/Flux-Claude-Art
+ Flay Lay : strangerzonehf/Flux-FlatLay-LoRA
+ Smiley Portrait : strangerzonehf/Flux-Smiley-Portrait-LoRA
π€Thanks for Community & OPEN SOURCEEE !!
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- 6 replies
prithivMLmodsΒ
posted
an
update
12 days ago
Post
5852
Reasoning SmolLM2 π
π―Fine-tuning SmolLM2 on a lightweight synthetic reasoning dataset for reasoning-specific tasks. Future updates will focus on lightweight, blazing-fast reasoning models. Until then, check out the blog for fine-tuning details.
π₯Blog : https://huggingface.co/blog/prithivMLmods/smollm2-ft
πΌ Models :
+ SmolLM2-CoT-360M : prithivMLmods/SmolLM2-CoT-360M
+ Reasoning-SmolLM2-135M : prithivMLmods/Reasoning-SmolLM2-135M
+ SmolLM2-CoT-360M-GGUF : prithivMLmods/SmolLM2-CoT-360M-GGUF
π€ Other Details :
+ Demo : prithivMLmods/SmolLM2-CoT-360M
+ Fine-tune nB : prithivMLmods/SmolLM2-CoT-360M
π―Fine-tuning SmolLM2 on a lightweight synthetic reasoning dataset for reasoning-specific tasks. Future updates will focus on lightweight, blazing-fast reasoning models. Until then, check out the blog for fine-tuning details.
π₯Blog : https://huggingface.co/blog/prithivMLmods/smollm2-ft
πΌ Models :
+ SmolLM2-CoT-360M : prithivMLmods/SmolLM2-CoT-360M
+ Reasoning-SmolLM2-135M : prithivMLmods/Reasoning-SmolLM2-135M
+ SmolLM2-CoT-360M-GGUF : prithivMLmods/SmolLM2-CoT-360M-GGUF
π€ Other Details :
+ Demo : prithivMLmods/SmolLM2-CoT-360M
+ Fine-tune nB : prithivMLmods/SmolLM2-CoT-360M
prithivMLmodsΒ
posted
an
update
18 days ago
Post
3848
Triangulum Catalogued π₯π«
π―Triangulum is a collection of pretrained and instruction-tuned generative models, designed for multilingual applications. These models are trained using synthetic datasets based on long chains of thought, enabling them to perform complex reasoning tasks effectively.
+ Triangulum-10B : prithivMLmods/Triangulum-10B
+ Quants : prithivMLmods/Triangulum-10B-GGUF
+ Triangulum-5B : prithivMLmods/Triangulum-5B
+ Quants : prithivMLmods/Triangulum-5B-GGUF
+ Triangulum-1B : prithivMLmods/Triangulum-1B
+ Quants : prithivMLmods/Triangulum-1B-GGUF
π―Triangulum is a collection of pretrained and instruction-tuned generative models, designed for multilingual applications. These models are trained using synthetic datasets based on long chains of thought, enabling them to perform complex reasoning tasks effectively.
+ Triangulum-10B : prithivMLmods/Triangulum-10B
+ Quants : prithivMLmods/Triangulum-10B-GGUF
+ Triangulum-5B : prithivMLmods/Triangulum-5B
+ Quants : prithivMLmods/Triangulum-5B-GGUF
+ Triangulum-1B : prithivMLmods/Triangulum-1B
+ Quants : prithivMLmods/Triangulum-1B-GGUF
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- 4 replies
prithivMLmodsΒ
posted
an
update
27 days ago
prithivMLmodsΒ
posted
an
update
30 days ago
Post
2536
Qwen2VL Models: Vision and Language Processing π
πFT; [ Latex OCR, Math Parsing, Text Analogy OCRTest ]
Colab Demo: prithivMLmods/Qwen2-VL-OCR-2B-Instruct
βοΈDemo : prithivMLmods/Qwen2-VL-2B . The demo includes the Qwen2VL 2B Base Model.
π―The space handles documenting content from the input image along with standardized plain text. It includes adjustment tools with over 30 font styles, file formatting support for PDF and DOCX, textual alignments, font size adjustments, and line spacing modifications.
πPDFs are rendered using the ReportLab software library toolkit.
π§΅Models :
+ prithivMLmods/Qwen2-VL-OCR-2B-Instruct
+ prithivMLmods/Qwen2-VL-Ocrtest-2B-Instruct
+ prithivMLmods/Qwen2-VL-Math-Prase-2B-Instruct
πSample Document :
+ https://drive.google.com/file/d/1Hfqqzq4Xc-3eTjbz-jcQY84V5E1YM71E/view?usp=sharing
π¦Collection :
+ prithivMLmods/vision-language-models-67639f790e806e1f9799979f
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@prithivMLmods π€
πFT; [ Latex OCR, Math Parsing, Text Analogy OCRTest ]
Colab Demo: prithivMLmods/Qwen2-VL-OCR-2B-Instruct
βοΈDemo : prithivMLmods/Qwen2-VL-2B . The demo includes the Qwen2VL 2B Base Model.
π―The space handles documenting content from the input image along with standardized plain text. It includes adjustment tools with over 30 font styles, file formatting support for PDF and DOCX, textual alignments, font size adjustments, and line spacing modifications.
πPDFs are rendered using the ReportLab software library toolkit.
π§΅Models :
+ prithivMLmods/Qwen2-VL-OCR-2B-Instruct
+ prithivMLmods/Qwen2-VL-Ocrtest-2B-Instruct
+ prithivMLmods/Qwen2-VL-Math-Prase-2B-Instruct
πSample Document :
+ https://drive.google.com/file/d/1Hfqqzq4Xc-3eTjbz-jcQY84V5E1YM71E/view?usp=sharing
π¦Collection :
+ prithivMLmods/vision-language-models-67639f790e806e1f9799979f
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@prithivMLmods π€
- 1 reply
prithivMLmodsΒ
posted
an
update
about 1 month ago
Post
3285
π Here Before - Xmasπ
β¨
π§π»βπModels
+ [ Xmas 2D Illustration ] : strangerzonehf/Flux-Xmas-Illustration-LoRA
+ [ Xmas 3D Art ] : strangerzonehf/Flux-Xmas-3D-LoRA
+ [ Xmas Chocolate ] : strangerzonehf/Flux-Xmas-Chocolate-LoRA
+ [ Xmas Isometric Kit ] : strangerzonehf/Flux-Xmas-Isometric-Kit-LoRA
+ [ Xmas Realpix ] : strangerzonehf/Flux-Xmas-Realpix-LoRA
+ [ Xmas Anime ] : strangerzonehf/Flux-Anime-Xmas-LoRA
βοΈCollections
+ [ Xmas Art ] : strangerzonehf/christmas-pack-6758b199487adafaddb68f82
+ [ Stranger Zone Collection ] : prithivMLmods/stranger-zone-collections-org-6737118adcf2cb40d66d0c7e
π₯ΆPage
+ [ Stranger Zone ] : https://huggingface.co/strangerzonehf
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@prithivMLmods π€
π§π»βπModels
+ [ Xmas 2D Illustration ] : strangerzonehf/Flux-Xmas-Illustration-LoRA
+ [ Xmas 3D Art ] : strangerzonehf/Flux-Xmas-3D-LoRA
+ [ Xmas Chocolate ] : strangerzonehf/Flux-Xmas-Chocolate-LoRA
+ [ Xmas Isometric Kit ] : strangerzonehf/Flux-Xmas-Isometric-Kit-LoRA
+ [ Xmas Realpix ] : strangerzonehf/Flux-Xmas-Realpix-LoRA
+ [ Xmas Anime ] : strangerzonehf/Flux-Anime-Xmas-LoRA
βοΈCollections
+ [ Xmas Art ] : strangerzonehf/christmas-pack-6758b199487adafaddb68f82
+ [ Stranger Zone Collection ] : prithivMLmods/stranger-zone-collections-org-6737118adcf2cb40d66d0c7e
π₯ΆPage
+ [ Stranger Zone ] : https://huggingface.co/strangerzonehf
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@prithivMLmods π€
peaceAshΒ
authored
a
paper
about 1 month ago
prithivMLmodsΒ
posted
an
update
about 1 month ago
prithivMLmodsΒ
posted
an
update
about 1 month ago
Post
3840
Near 3:2 { 1280*832 } Adapters π₯
π§ͺThe datasets were prepared for a 3:2 aspect ratio by processing images of any dimension (width Γ height) in alignment with the adapter's concept. This involved using techniques such as magic expand, magic fill, or outpainting to adjust the remaining parts of the image to achieve the 3:2 ratio & posts training. This approach enhanced the desired image quality to up to 2 MB for detailed prompts and reduced artifacts in images sized at 1280 Γ 832.
πThis approach was used instead of cropping down the 2x or 3x zoomed positions in the actual image. It generative filling to adjust the image's aspect ratio proportionally within the dataset.
π§I used Canva's Magic Expand, Firefly's Generative Fill, and Flux's Outpaint for aspect ratio adjustments.
β¬οΈModel DLC :
+ [ Microworld Nft ] : strangerzonehf/Flux-Microworld-NFT-LoRA
+ [ Creative Stocks ] : strangerzonehf/Flux-Creative-Stocks-LoRA
+ [ Icon-Kit ] : strangerzonehf/Flux-Icon-Kit-LoRA
+ [ Claymation ] : strangerzonehf/Flux-Claymation-XC-LoRA
+ [ Super Portrait ] : strangerzonehf/Flux-Super-Portrait-LoRA
+ [ Ghibli Art ] : strangerzonehf/Flux-Ghibli-Art-LoRA
+ [ Isometric Site ] : strangerzonehf/Flux-Isometric-Site-LoRA
π§¨Page :
1] Stranger Zone: https://huggingface.co/strangerzonehf
π£Space :
1] Flux LoRA DLC: prithivMLmods/FLUX-LoRA-DLC
π¦Collections :
1] strangerzonehf/flux-3dxl-engine-674833c14a001d5b1fdb5139
2] prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
3] strangerzonehf/animaker-engine-673714956dec98c400c30cf6
4] strangerzonehf/mixer-engine-673582c9c5939d8aa5bf9533
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@prithivMLmods
π§ͺThe datasets were prepared for a 3:2 aspect ratio by processing images of any dimension (width Γ height) in alignment with the adapter's concept. This involved using techniques such as magic expand, magic fill, or outpainting to adjust the remaining parts of the image to achieve the 3:2 ratio & posts training. This approach enhanced the desired image quality to up to 2 MB for detailed prompts and reduced artifacts in images sized at 1280 Γ 832.
πThis approach was used instead of cropping down the 2x or 3x zoomed positions in the actual image. It generative filling to adjust the image's aspect ratio proportionally within the dataset.
π§I used Canva's Magic Expand, Firefly's Generative Fill, and Flux's Outpaint for aspect ratio adjustments.
β¬οΈModel DLC :
+ [ Microworld Nft ] : strangerzonehf/Flux-Microworld-NFT-LoRA
+ [ Creative Stocks ] : strangerzonehf/Flux-Creative-Stocks-LoRA
+ [ Icon-Kit ] : strangerzonehf/Flux-Icon-Kit-LoRA
+ [ Claymation ] : strangerzonehf/Flux-Claymation-XC-LoRA
+ [ Super Portrait ] : strangerzonehf/Flux-Super-Portrait-LoRA
+ [ Ghibli Art ] : strangerzonehf/Flux-Ghibli-Art-LoRA
+ [ Isometric Site ] : strangerzonehf/Flux-Isometric-Site-LoRA
π§¨Page :
1] Stranger Zone: https://huggingface.co/strangerzonehf
π£Space :
1] Flux LoRA DLC: prithivMLmods/FLUX-LoRA-DLC
π¦Collections :
1] strangerzonehf/flux-3dxl-engine-674833c14a001d5b1fdb5139
2] prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
3] strangerzonehf/animaker-engine-673714956dec98c400c30cf6
4] strangerzonehf/mixer-engine-673582c9c5939d8aa5bf9533
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@prithivMLmods
- 1 reply
Post
1633
prithivMLmodsΒ
posted
an
update
about 2 months ago
Post
2645
Milestone for Flux.1 Dev π₯
π’The Flux.1 Dev model has crossed 1οΈβ£0οΈβ£,0οΈβ£0οΈβ£0οΈβ£ creative public adapters! π
π https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev
π’This includes:
- 266 Finetunes
- 19 Quants
- 4 Merges
π’ Hereβs the 10,000th public adapter : π
+ strangerzonehf/Flux-3DXL-Partfile-0006
π’ Page :
+ https://huggingface.co/strangerzonehf
π’ Collection :
+ prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
π’The Flux.1 Dev model has crossed 1οΈβ£0οΈβ£,0οΈβ£0οΈβ£0οΈβ£ creative public adapters! π
π https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev
π’This includes:
- 266 Finetunes
- 19 Quants
- 4 Merges
π’ Hereβs the 10,000th public adapter : π
+ strangerzonehf/Flux-3DXL-Partfile-0006
π’ Page :
+ https://huggingface.co/strangerzonehf
π’ Collection :
+ prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
Post
503
π The Stanford Institute for Human-Centered AI (https://aiindex.stanford.edu/vibrancy/) has released its 2024 Global AI Vibrancy Tool, a way to explore and compare AI progress across 36 countries.
π It measures progress across the 8 broad pillars of R&D, Responsible AI, Economy, Education, Diversity, Policy and Governance, Public Opinion and Infrastructure. (Each of these pillars have a number of Sub Indices)
π As a whole it is not surprising that the USA was at the top in terms of overall score as of 2023 (AI investment activity is a large part of the economic pillar for example and that is a large part of the overall USA ranking) but drilling in to more STRATEGIC Macro pillars like Education, Infrastructure or R&D reveal interesting growth patterns in Asia (particularly China) and Western Europe that I suspect the 2024 metrics will bear out.
π€ Hopefully the 2024 Global Vibrancy ranking will break out AI and ML verticals like Computer Vision or NLP and or the AI Agent space as that may also from a global macro level give indications of what is to come globally for AI in 2025.
π It measures progress across the 8 broad pillars of R&D, Responsible AI, Economy, Education, Diversity, Policy and Governance, Public Opinion and Infrastructure. (Each of these pillars have a number of Sub Indices)
π As a whole it is not surprising that the USA was at the top in terms of overall score as of 2023 (AI investment activity is a large part of the economic pillar for example and that is a large part of the overall USA ranking) but drilling in to more STRATEGIC Macro pillars like Education, Infrastructure or R&D reveal interesting growth patterns in Asia (particularly China) and Western Europe that I suspect the 2024 metrics will bear out.
π€ Hopefully the 2024 Global Vibrancy ranking will break out AI and ML verticals like Computer Vision or NLP and or the AI Agent space as that may also from a global macro level give indications of what is to come globally for AI in 2025.