Instructions to use CannLiew/cpmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CannLiew/cpmi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CannLiew/cpmi", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CannLiew/cpmi", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CannLiew/cpmi: direct link, hf CLI and curl.
- Browser
- Download file 117 MB
-
https://huggingface.co/CannLiew/cpmi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CannLiew/cpmi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CannLiew/cpmi/resolve/main/pytorch_model.bin
117 MB
- Xet hash:
- 8c584fdb2b7f6bd18068f14da4b49f20af468cdc102f0268eda3c11df841dfbe
- Size of remote file:
- 117 MB
- SHA256:
- 837281d066b831c9dd478e2a472beee99ed2498aa2f38c1fa93474971ac0ce8f
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