Instructions to use jtorreggiani/lr-statement-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use jtorreggiani/lr-statement-intent-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("jtorreggiani/lr-statement-intent-classifier", "custom_model.pkl") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download custom_model.pkl from jtorreggiani/lr-statement-intent-classifier: direct link, hf CLI and curl.
- Browser
- Download file 16.3 kB
-
https://huggingface.co/jtorreggiani/lr-statement-intent-classifier/resolve/main/custom_model.pkl
- Command line
-
hf download hf://jtorreggiani/lr-statement-intent-classifier/custom_model.pkl
-
curl -L -o custom_model.pkl https://huggingface.co/jtorreggiani/lr-statement-intent-classifier/resolve/main/custom_model.pkl
16.3 kB
- Xet hash:
- edb951b85d3ee9ebd32d868789066cee9f41ccec6c4f9552a20fec1981426d3e
- Size of remote file:
- 16.3 kB
- SHA256:
- cdc83ab4acc58b50e6d936d2cc5b626084ea2115cc55e5bf4f3de748131f11bd
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