Instructions to use abcorrea/e4b-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abcorrea/e4b-v9 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abcorrea/e4b-v9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abcorrea/e4b-v9: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/abcorrea/e4b-v9/resolve/main/training_args.bin
- Command line
-
hf download hf://abcorrea/e4b-v9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abcorrea/e4b-v9/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 0995faa062c6b545fcbf06b043562a21ee08217dbd4d004e08ccc55ca827fc9b
- Size of remote file:
- 5.78 kB
- SHA256:
- 85e248bb8f62a7a816b121bed6280c1ba241c89f3a5be672e4a456ea2cd5ee9e
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