Hafedh Hichri's picture

Hafedh Hichri

not-lain

AI & ML interests

custom AI models with HF integration, HuggingFace fellow πŸ€—

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not-lain's activity

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the short version would be faster and consistent inference in the cost of more gpu consumption

posted an update about 12 hours ago
reacted to hexgrad's post with ❀️πŸ”₯ about 14 hours ago
reacted to clem's post with β€οΈπŸ€—πŸ”₯ 1 day ago
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AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!
reacted to burtenshaw's post with πŸš€ 6 days ago
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🚧 Work in Progress! 🚧

πŸ‘·β€β™€οΈ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.

If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:

- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8


reacted to cutechicken's post with πŸ”₯ 12 days ago
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πŸ”¬ PaperImpact
: Scientific Impact Predictor Powered by Deep Learning 🎯

VIDraft/PaperImpact

πŸ“š Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
🧠 Scientific Foundation

BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference

πŸ’« Why Researchers Need This

Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage

🎯 Key Features

One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback

🌟 Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:

Research authors
PhD students
Journal editors
Research institutions
Grant committees

#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
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reacted to prithivMLmods's post with πŸ€— 12 days ago
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200+ f{πŸ€—} on Stranger Zone! [ https://huggingface.co/strangerzonehf ]

❀️‍πŸ”₯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

πŸ‘½Try Demo: prithivMLmods/FLUX-LoRA-DLC

πŸ“¦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

πŸ€—Thanks for Community & OPEN SOURCEEE !!
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posted an update 13 days ago
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we now have more than 2000 public AI models using ModelHubMixinπŸ€—
reacted to Xenova's post with πŸ”₯ 13 days ago
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Introducing Kokoro.js, a new JavaScript library for running Kokoro TTS, an 82 million parameter text-to-speech model, 100% locally in the browser w/ WASM. Powered by πŸ€— Transformers.js. WebGPU support coming soon!
πŸ‘‰ npm i kokoro-js πŸ‘ˆ

Try it out yourself: webml-community/kokoro-web
Link to models/samples: onnx-community/Kokoro-82M-ONNX

You can get started in just a few lines of code!
import { KokoroTTS } from "kokoro-js";

const tts = await KokoroTTS.from_pretrained(
  "onnx-community/Kokoro-82M-ONNX",
  { dtype: "q8" }, // fp32, fp16, q8, q4, q4f16
);

const text = "Life is like a box of chocolates. You never know what you're gonna get.";
const audio = await tts.generate(text,
  { voice: "af_sky" }, // See `tts.list_voices()`
);
audio.save("audio.wav");

Huge kudos to the Kokoro TTS community, especially taylorchu for the ONNX exports and Hexgrad for the amazing project! None of this would be possible without you all! πŸ€—

The model is also extremely resilient to quantization. The smallest variant is only 86 MB in size (down from the original 326 MB), with no noticeable difference in audio quality! 🀯
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reacted to burtenshaw's post with β€οΈπŸ€—πŸš€πŸ”₯ 13 days ago
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We’re launching a FREE and CERTIFIED course on Agents!

We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.

Here's what you'll learn:

- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience

This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.

Enroll today and start building the next generation of AI agent applications!

https://bit.ly/hf-learn-agents
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reacted to meg's post with πŸ”₯ 16 days ago
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πŸ’«...And we're live!πŸ’« Seasonal newsletter from ethicsy folks at Hugging Face, exploring the ethics of "AI Agents"
https://huggingface.co/blog/ethics-soc-7
Our analyses found:
- There's a spectrum of "agent"-ness
- *Safety* is a key issue, leading to many other value-based concerns
Read for details & what to do next!
With @evijit , @giadap , and @sasha
reacted to merve's post with πŸ”₯❀️ 16 days ago
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there's a new multimodal retrieval model in town 🀠
LlamaIndex released vdr-2b-multi-v1
> uses 70% less image tokens, yet outperforming other dse-qwen2 based models
> 3x faster inference with less VRAM πŸ’¨
> shrinkable with matryoshka πŸͺ†
> can do cross-lingual retrieval!
Collection: llamaindex/visual-document-retrieval-678151d19d2758f78ce910e1 (with models and datasets)
Demo: llamaindex/multimodal_vdr_demo
Learn more from their blog post here https://huggingface.co/blog/vdr-2b-multilingual πŸ“–