Instructions to use vasudevgupta/amazon-ml-hack-only-title-brand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/amazon-ml-hack-only-title-brand with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, sifier tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/amazon-ml-hack-only-title-brand") model = sifier.from_pretrained("vasudevgupta/amazon-ml-hack-only-title-brand", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from vasudevgupta/amazon-ml-hack-only-title-brand: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/vasudevgupta/amazon-ml-hack-only-title-brand/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://vasudevgupta/amazon-ml-hack-only-title-brand/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/vasudevgupta/amazon-ml-hack-only-title-brand/resolve/main/flax_model.msgpack
468 MB
- Xet hash:
- bac6e67a1ab83e85074bf9f0b773a87090d8d8cfdd98469dfd018a33941f8855
- Size of remote file:
- 468 MB
- SHA256:
- 3d9f121ea05e08bad65303b7294f147503cfeefd887ee1227f4579805bbfb0f7
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