oolabs/sommerfugl-31b
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abhishekย
published a
model 4 days ago
abhishekย
updated a
model 4 days ago
Post
6227
INTRODUCING Hugging Face AutoTrain Client ๐ฅ
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 ๐ค
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
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 ๐ค
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
abhishekย
authored a
paper almost 2 years ago
Post
1536
Post
1883
๐จ NEW TASK ALERT ๐จ
Extractive Question Answering: because sometimes generative is not all you need ๐
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 ๐
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
Extractive Question Answering: because sometimes generative is not all you need ๐
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 ๐
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
Post
3341
You can now train/finetune custom sentence transformer embedding models using AutoTrain. Read blog: https://huggingface.co/blog/abhishek/finetune-custom-embeddings-autotrain
- 2 replies
Post
2950
๐จ NEW TASK ALERT ๐จ
๐ AutoTrain now supports Object Detection! ๐
Transform your projects with these powerful new features:
๐น Fine-tune any supported model from the Hugging Face Hub
๐น Seamless logging with TensorBoard or W&B
๐น Support for local and hub datasets
๐น Configurable training for tailored results
๐น Train locally or leverage Hugging Face Spaces
๐น Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
๐ AutoTrain now supports Object Detection! ๐
Transform your projects with these powerful new features:
๐น Fine-tune any supported model from the Hugging Face Hub
๐น Seamless logging with TensorBoard or W&B
๐น Support for local and hub datasets
๐น Configurable training for tailored results
๐น Train locally or leverage Hugging Face Spaces
๐น Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
Post
3114
๐๐๐๐ Introducing AutoTrain Configs! ๐๐๐๐
Now you can train models using yaml config files! ๐ฅ 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 ๐ค
Github repo: https://github.com/huggingface/autotrain-advanced
Now you can train models using yaml config files! ๐ฅ 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 ๐ค
Github repo: https://github.com/huggingface/autotrain-advanced
- 2 replies
Post
3079
Post
2377
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 ๐ฅ pip install autotrain-advanced
Trained model: https://huggingface.co/abhishek/autotrain-llama3-orpo-v2
Trained model: https://huggingface.co/abhishek/autotrain-llama3-orpo-v2
- 1 reply
Post
3491
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: https://huggingface.co/abhishek/autotrain-llama3-no-robots
- 2 replies
Post
Happy to announce, brand new, open-source Hugging Face Competitions platform ๐ Now, create a machine learning competition for your friends, colleagues or the world for FREE* and host it on Hugging Face: the AI community building the future. Creating a competition requires only two steps:
pip install competitions, then run competitions create and create competition by answering a few questions ๐ฅ Checkout the github repo: https://github.com/huggingface/competitions and docs: https://hf.co/docs/competitions 
- 6 replies
Post
Train ANYTHING on Hugging Face Spaces hardware using AutoTrain SpaceRunner: https://hf.co/blog/stefan-it/autotrain-flair-mobie ๐ฅ
- 9 replies
abhishekย
authored 3
papers over 3 years ago
RAFT: A Real-World Few-Shot Text Classification Benchmark
Paper โข 2109.14076 โข Published โข 2
Datasets: A Community Library for Natural Language Processing
Paper โข 2109.02846 โข Published โข 16
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
Paper โข 2210.01970 โข Published โข 14