Instructions to use kejian/final-mle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-mle with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-mle") model = AutoModel.from_pretrained("kejian/final-mle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/final-mle: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/final-mle/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/final-mle/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/final-mle/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 07e771fddffae9a3c824dbcd8006447f8493712612e2a5ffb413bc862775e7b4
- Size of remote file:
- 457 MB
- SHA256:
- 3b64690a17859331e17b4c1156764a6d6a472253c8c347e811d1c41677dc8fab
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