Instructions to use isroych/prompt-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use isroych/prompt-analyzer with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("isroych/prompt-analyzer", "sklearn_model.joblib") ) # 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 vectorizer.pkl from isroych/prompt-analyzer: direct link, hf CLI and curl.
- Browser
- Download file 4.48 kB
-
https://huggingface.co/isroych/prompt-analyzer/resolve/main/vectorizer.pkl
- Command line
-
hf download hf://isroych/prompt-analyzer/vectorizer.pkl
-
curl -L -o vectorizer.pkl https://huggingface.co/isroych/prompt-analyzer/resolve/main/vectorizer.pkl
4.48 kB
- Xet hash:
- e49837cb8cfca332c434d1a2f9619af22e13844831286fd10515bdf744200417
- Size of remote file:
- 4.48 kB
- SHA256:
- 5932743f2bb59d112ebe59c51a1332bb943beafa41ba1297e37c39887b0e932d
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