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 ice_text.model from CannLiew/cpmi: direct link, hf CLI and curl.
- Browser
- Download file 2.71 MB
-
https://huggingface.co/CannLiew/cpmi/resolve/main/ice_text.model
- Command line
-
hf download hf://CannLiew/cpmi/ice_text.model
-
curl -L -o ice_text.model https://huggingface.co/CannLiew/cpmi/resolve/main/ice_text.model
2.71 MB
- Xet hash:
- e00f6acec466856a7e614a184a4d8112a8e9b1db48bfcafeaa92c129a12817b1
- Size of remote file:
- 2.71 MB
- SHA256:
- 5e974d9a69c242ce014c88c2b26089270f6198f3c0b700a887666cd3e816f17e
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