Extractive Question Answering with AutoTrain
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Abhishek Thakur
abhishek
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replied to
their
post
10 days ago
for that space, you should ask here: https://huggingface.co/spaces/fffiloni/consistent-character/discussions :)
replied to
their
post
10 days ago
im not sure what you mean. is this an issue with autotrain? if yes, open one here please: https://github.com/huggingface/autotrain-advanced/issues
Reacted to
their
post with ๐
15 days ago
Post
4984
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
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- 6 replies
posted
an
update
15 days ago
Post
4984
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
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- 6 replies
Reacted to
their
post with ๐
about 1 month ago
posted
an
update
about 1 month ago
posted
an
update
3 months ago
Post
1845
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
replied to
their
post
6 months ago
not really without full logs. can you create an issue here: https://github.com/huggingface/autotrain-advanced with full logs?
Reacted to
their
post with ๐
6 months ago
Post
3311
You can now train/finetune custom sentence transformer embedding models using AutoTrain. Read blog: https://huggingface.co/blog/abhishek/finetune-custom-embeddings-autotrain
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- 2 replies
posted
an
update
6 months ago
Post
3311
You can now train/finetune custom sentence transformer embedding models using AutoTrain. Read blog: https://huggingface.co/blog/abhishek/finetune-custom-embeddings-autotrain
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- 2 replies
Reacted to
their
post with ๐ฅ
6 months ago
Post
2931
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
6 months ago
Post
2931
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
7 months ago
Post
3055
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
Reacted to
their
post with ๐
7 months ago
Post
3067
Reacted to
their
post with ๐
7 months ago
Post
2369
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
posted
an
update
7 months ago
Post
2369
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
7 months 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
7 months ago
Post
3468
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