Gradio-Themes-Party

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mikonvergence 
posted an update about 16 hours ago
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𝐌𝐄𝐒𝐀 🏔️ 𝐓𝐞𝐱𝐭-𝐛𝐚𝐬𝐞𝐝 𝐭𝐞𝐫𝐫𝐚𝐢𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥

MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.

Work developed by Paul Borne–Pons ( @NewtNewt ) during his joint internship at
Adobe & ESA, and in collaboration with asterisk labs.

🏔️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐏𝐚𝐠𝐞 : https://paulbornep.github.io/mesa-terrain/

📝 𝐏𝐫𝐞𝐩𝐫𝐢𝐧𝐭 : https://arxiv.org/abs/2504.07210
🤗 𝐌𝐨𝐝𝐞𝐥 𝐖𝐞𝐢𝐠𝐡𝐭𝐬 : NewtNewt/MESA
💾 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 : Major-TOM/Core-DEM
🧑🏻‍💻​𝐂𝐨𝐝𝐞 : https://github.com/PaulBorneP/MESA
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Nymbo 
posted an update 1 day ago
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351
gen z boss and a o3-mini
gen z boss and a o3-mini
louisbrulenaudet 
posted an update 25 days ago
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910
I’ve just released logfire-callback on PyPI, designed to facilitate monitoring of Hugging Face Transformer training loops using Pydantic Logfire 🤗

The callback will automatically log training start with configuration parameters, periodic metrics and training completion ⏱️

Install the package using pip:
pip install logfire-callback

First, ensure you have a Logfire API token and set it as an environment variable:
export LOGFIRE_TOKEN=your_logfire_token

Then use the callback in your training code:
from transformers import Trainer, TrainingArguments
from logfire_callback import LogfireCallback

# Initialize your model, dataset, etc.

training_args = TrainingArguments(
    output_dir="./results",
    num_train_epochs=3,
    # ... other training arguments
)

trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=train_dataset,
    callbacks=[LogfireCallback()]  # Add the Logfire callback here
)

trainer.train()

If you have any feedback, please reach out at @louisbrulenaudet
alielfilali01 
posted an update about 2 months ago
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🚨 Arabic LLM Evaluation 🚨

Few models join the ranking of https://huggingface.co/spaces/inceptionai/AraGen-Leaderboard Today.

The new MistralAI model, Saba, is quite impressive, Top10 ! Well done @arthurmensch and team.

Sadly Mistral did not follow its strategy about public weights this time, we hope this changes soon and we get the model with a permissive license.

We added other Mistral models and apparently, we have been sleeping on mistralai/Mistral-Large-Instruct-2411 !

Another impressive model that joined the ranking today is ALLaM-AI/ALLaM-7B-Instruct-preview. After a long wait finally ALLaM is here and it is IMPRESSIVE given its size !

ALLaM is ranked on OALL/Open-Arabic-LLM-Leaderboard as well.
louisbrulenaudet 
posted an update 2 months ago
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3283
I am pleased to introduce my first project built upon Hugging Face’s smolagents framework, integrated with Alpaca for financial market analysis automation 🦙🤗

The project implements technical indicators such as the Relative Strength Index (RSI) and Bollinger Bands to provide momentum and volatility analysis. Market data is retrieved through the Alpaca API, enabling access to historical price information across various timeframes.

AI-powered insights are generated using Hugging Face’s inference API, facilitating the analysis of market trends through natural language processing with DuckDuckGo search integration for real-time sentiment analysis based on financial news 🦆

Link to the GitHub project: https://github.com/louisbrulenaudet/agentic-market-tool

ameerazam08 
posted an update 3 months ago