Instructions to use vasudevgupta/amazon-ml-hack-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/amazon-ml-hack-best with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, sifier tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/amazon-ml-hack-best") model = sifier.from_pretrained("vasudevgupta/amazon-ml-hack-best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from vasudevgupta/amazon-ml-hack-best: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/vasudevgupta/amazon-ml-hack-best/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://vasudevgupta/amazon-ml-hack-best/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/vasudevgupta/amazon-ml-hack-best/resolve/main/flax_model.msgpack
468 MB
- Xet hash:
- 463d2615ca122bc1dd53f2ec6cf2439ed203a41ad48b7866b574af423816229e
- Size of remote file:
- 468 MB
- SHA256:
- 6f267caec6db2b3c39297e1a34200eb52aeb06a6b67825f0312ac4501dcc5de3
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