Abhishek Thakur

abhishek

AI & ML interests

None yet

Articles

Organizations

abhishek's activity

reacted to their post with ๐Ÿ‘ 1 day ago
view post
Post
2374
INTRODUCING Hugging Face AutoTrain Client ๐Ÿ”ฅ
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 ๐Ÿค—

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
posted an update 1 day ago
view post
Post
2374
INTRODUCING Hugging Face AutoTrain Client ๐Ÿ”ฅ
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 ๐Ÿค—

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
reacted to their post with ๐Ÿ‘ 19 days ago
posted an update 19 days ago
posted an update 3 months ago
posted an update 3 months ago
view post
Post
1840
๐Ÿšจ NEW TASK ALERT ๐Ÿšจ
Extractive Question Answering: because sometimes generative is not all you need ๐Ÿ˜‰
AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 ๐Ÿš€
Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain
replied to their post 5 months ago
reacted to their post with ๐Ÿš€ 5 months ago
posted an update 5 months ago
reacted to their post with ๐Ÿ”ฅ 6 months ago
view post
Post
2929
๐Ÿšจ NEW TASK ALERT ๐Ÿšจ
๐ŸŽ‰ AutoTrain now supports Object Detection! ๐ŸŽ‰
Transform your projects with these powerful new features:
๐Ÿ”น Fine-tune any supported model from the Hugging Face Hub
๐Ÿ”น Seamless logging with TensorBoard or W&B
๐Ÿ”น Support for local and hub datasets
๐Ÿ”น Configurable training for tailored results
๐Ÿ”น Train locally or leverage Hugging Face Spaces
๐Ÿ”น Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
posted an update 6 months ago
view post
Post
2929
๐Ÿšจ NEW TASK ALERT ๐Ÿšจ
๐ŸŽ‰ AutoTrain now supports Object Detection! ๐ŸŽ‰
Transform your projects with these powerful new features:
๐Ÿ”น Fine-tune any supported model from the Hugging Face Hub
๐Ÿ”น Seamless logging with TensorBoard or W&B
๐Ÿ”น Support for local and hub datasets
๐Ÿ”น Configurable training for tailored results
๐Ÿ”น Train locally or leverage Hugging Face Spaces
๐Ÿ”น Deployment-ready with API inference or Hugging Face endpoints
AutoTrain: https://hf.co/autotrain
posted an update 6 months ago
view post
Post
3052
๐Ÿš€๐Ÿš€๐Ÿš€๐Ÿš€ Introducing AutoTrain Configs! ๐Ÿš€๐Ÿš€๐Ÿš€๐Ÿš€
Now you can train models using yaml config files! ๐Ÿ’ฅ 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 ๐Ÿค—
Github repo: https://github.com/huggingface/autotrain-advanced
  • 2 replies
ยท
reacted to their post with ๐Ÿ˜Ž 7 months ago
posted an update 7 months ago
reacted to their post with ๐Ÿš€ 7 months ago
view post
Post
2368
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 ๐Ÿ’ฅ pip install autotrain-advanced
Trained model: abhishek/autotrain-llama3-orpo-v2
  • 1 reply
ยท
posted an update 7 months ago
view post
Post
2368
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 ๐Ÿ’ฅ pip install autotrain-advanced
Trained model: abhishek/autotrain-llama3-orpo-v2
  • 1 reply
ยท
replied to their post 7 months ago
posted an update 7 months ago
view post
Post
3463
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
ยท
reacted to trisfromgoogle's post with ๐Ÿค๐Ÿคฏ 9 months ago
view post
Post
I am thrilled to announce Gemma, new 2B and 7B models from Google, based on the same research and technology used to train the Gemini models! These models achieve state-of-the-art performance for their size, and are launched across Transformers, Google Cloud, and many other surfaces worldwide starting today.

Get started using and adapting Gemma in the model Collection: google/gemma-release-65d5efbccdbb8c4202ec078b

These launches are the product of an outstanding collaboration between the Google DeepMind and Hugging Face teams over the last few months -- very proud of the work both teams have done, from integration with Vertex AI to optimization across the stack. Read more about the partnership in the main launch by @philschmid @osanseviero @pcuenq on the launch blog: https://huggingface.co/blog/gemma

More information below if you are curious about training details, eval results, and safety characteristics!

Gemma Tech Report: https://goo.gle/GemmaReport
Launch announcement: https://blog.google/technology/developers/gemma-open-models/
ยท