Train Custom Models on Hugging Face Spaces with AutoTrain SpaceRunner
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Abhishek Thakur
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posted
an
update
4 days ago
Post
1068
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
posted
an
update
15 days ago
Post
2697
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
- 1 reply
posted
an
update
25 days ago
Post
2302
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: abhishek/autotrain-llama3-orpo-v2
Trained model: abhishek/autotrain-llama3-orpo-v2
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- 1 reply
replied to
their
post
28 days ago
please dont spam in multiple places. use github to report issues: https://github.com/huggingface/autotrain-advanced . your issue seems like you are not using a gpu.
posted
an
update
30 days ago
Post
3362
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
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- 2 replies
replied to
their
post
4 months ago
surely! looking forward to it! if you have any queries/issues, feel free to create an issue in github repo. :)
posted
an
update
4 months ago
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
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- 6 replies
replied to
their
post
4 months ago
yes. some rendering issue. also added link as separate comment :) thank you!
replied to
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4 months ago
posted
an
update
4 months ago
Post
Train ANYTHING on Hugging Face Spaces hardware using AutoTrain SpaceRunner: https://hf.co/blog/stefan-it/autotrain-flair-mobie ๐ฅ
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- 9 replies
replied to
their
post
5 months ago
๐คฃ
replied to
their
post
5 months ago
iiuc, its invite only atm. @sbrandeis ?
