Instructions to use kejian/immaculate-mle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/immaculate-mle with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/immaculate-mle") model = AutoModel.from_pretrained("kejian/immaculate-mle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/immaculate-mle: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/immaculate-mle/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/immaculate-mle/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/immaculate-mle/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 3b62229d45f6f3b2dbd28e605b56b47c047d6931a3b027751b73779138144e57
- Size of remote file:
- 457 MB
- SHA256:
- cc2e78b2c3c015b71cf1515abe2cdccf328af7b1d5d3b490452673da3ca29407
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