Hugging Face's logo

Spaces-explorers

Activity Feed Request to join this org

AI & ML interests

Contributors who are invited to beta-test our next big feature! Contact us if you want to join this team :-)

Recent Activity

emaballarin  authored a paper about 1 month ago
Driving Enhanced Exciton Transfer by Automatic Differentiation
mryab  authored a paper about 2 months ago
RedPajama: an Open Dataset for Training Large Language Models
RicardoRei  authored a paper 3 months ago
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
View all activity

spaces-explorers's activity

abhishek 
posted an update about 1 month ago
view post
Post
1773
🎉 SUPER BLACK FRIDAY DEAL 🎉

Train almost any model on a variety of tasks such as llm finetuning, text classification/regression, summarization, question answering, image classification/regression, object detection, tabular data, etc for FREE using AutoTrain locally. 🔥
https://github.com/huggingface/autotrain-advanced
wissamantoun 
authored a paper about 2 months ago
abhishek 
posted an update 2 months ago
view post
Post
5601
INTRODUCING Hugging Face AutoTrain Client 🔥
Fine-tuning models got even easier!!!!
Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks 🤗

To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.

"pip install autotrain-advanced"

Github repo: https://github.com/huggingface/autotrain-advanced
  • 6 replies
·
abhishek 
authored a paper 3 months ago
abhishek 
posted an update 3 months ago
cbensimon 
posted an update 4 months ago
view post
Post
4369
Hello everybody,

We've rolled out a major update to ZeroGPU! All the Spaces are now running on it.

Major improvements:

1. GPU cold starts about twice as fast!
2. RAM usage reduced by two-thirds, allowing more effective resource usage, meaning more GPUs for the community!
3. ZeroGPU initializations (coldstarts) can now be tracked and displayed (use progress=gr.Progress(track_tqdm=True))
4. Improved compatibility and PyTorch integration, increasing ZeroGPU compatible spaces without requiring any modifications!

Feel free to answer in the post if you have any questions

🤗 Best regards,
Charles
abhishek 
posted an update 5 months ago
abhishek 
posted an update 5 months ago
view post
Post
1859
🚨 NEW TASK ALERT 🚨
Extractive Question Answering: because sometimes generative is not all you need 😉
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 🚀
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
nguyenvulebinh 
authored a paper 5 months ago
wissamantoun 
authored a paper 5 months ago
giux78 
posted an update 6 months ago
view post
Post
1660
We https://mii-llm.ai just released a new LLM Italian benchmark and a set of evaluation: MMLU-PRO-ITA

Thanks to @efederici who released efederici/MMLU-Pro-ita a machine translated version of MMLU-PRO and thanks to a community shared computational effort we published in the "Eval Aggiuntive" tab of https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard the results on Italian open source LLMs.

If you want to deepen read the blog article on hf https://huggingface.co/blog/giux78/mmlu-pro-ita
abhishek 
posted an update 8 months ago
giux78 
posted an update 8 months ago
view post
Post
1484
@FinancialSupport and I just released a new version of the Italian LLMs leaderboard https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard
using the super useful https://huggingface.co/demo-leaderboard template from @clefourrier .
We’ve evaluated over 50 models (base, merged, fine-tuned, etc.) from:
- Major companies like Meta, Mistral, Google ...
- University groups such as https://huggingface.co/sapienzanlp or https://huggingface.co/swap-uniba
- Italian Companies like https://huggingface.co/MoxoffSpA , https://huggingface.co/FairMind or https://huggingface.co/raicrits
- Various communities and individuals
All models were tested on #Italian benchmarks #mmlu #arc-c #hellaswag, which we contributed to the opensource lm-evaluation-harness library from https://huggingface.co/EleutherAI.
Plus, you can now submit your model for automatic evaluation, thanks to to https://huggingface.co/seeweb sponsored computation.
Curious about the top Italian models? Check out the leaderboard and submit your model!

https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard
abhishek 
posted an update 8 months ago
view post
Post
2938
🚨 NEW TASK ALERT 🚨
🎉 AutoTrain now supports Object Detection! 🎉
Transform your projects with these powerful new features:
🔹 Fine-tune any supported model from the Hugging Face Hub
🔹 Seamless logging with TensorBoard or W&B
🔹 Support for local and hub datasets
🔹 Configurable training for tailored results
🔹 Train locally or leverage Hugging Face Spaces
🔹 Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
giux78 
posted an update 8 months ago
view post
Post
1583
@mik3ml just released ReDiX/wikipediaQA-ita an interesting synthetic dataset originated from wikipedia using a fine tuned version of mistral-7B specific for the Italian language 🇮🇹 .

  • 1 reply
·
abhishek 
posted an update 8 months ago
view post
Post
3065
🚀🚀🚀🚀 Introducing AutoTrain Configs! 🚀🚀🚀🚀
Now you can train models using yaml config files! 💥 These configs are easy to understand and are not at all overwhelming. So, even a person with almost zero knowledge of machine learning can train state of the art models without writing any code. Check out example configs in the config directory of autotrain-advanced github repo and feel free to share configs by creating a pull request 🤗
Github repo: https://github.com/huggingface/autotrain-advanced
  • 2 replies
·
abhishek 
posted an update 9 months ago
abhishek 
posted an update 9 months ago
view post
Post
2372
Trained another version of llama3-8b-instruct which beats the base model. This time without losing too many points on gsm8k benchmark. Again, using AutoTrain 💥 pip install autotrain-advanced
Trained model: abhishek/autotrain-llama3-orpo-v2
  • 1 reply
·
abhishek 
posted an update 9 months ago
view post
Post
3477
With AutoTrain, you can already finetune the latest llama3 models without writing a single line of code. Here's an example finetune of llama3 8b model: abhishek/autotrain-llama3-no-robots
  • 2 replies
·
giux78 
posted an update 9 months ago
view post
Post
1809
🎉 Super @DeepMount00 just released 𝗚𝗲𝗺𝗺𝗮_𝗤𝗔_𝗜𝗧𝗔_𝘃𝟯 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 the 𝗥𝗔𝗚 𝘁𝗮𝘀𝗸 on the Italian 𝗟𝗟𝗠_𝗜𝗧𝗔_𝗟𝗘𝗔𝗗𝗘𝗥𝗕𝗢𝗔𝗥𝗗. The model is a fine tuned version of Gemma 2B.
Model details: https://huggingface.co/DeepMount00/Gemma_QA_ITA_v3
Explore the full RAG section rankings here: https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard on section Classifica RAG