Instructions to use zachz/code-review-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use zachz/code-review-sentiment with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("zachz/code-review-sentiment", "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
File size: 208 Bytes
ac81450 | 1 2 3 4 5 6 7 8 9 10 11 | {
"model_type": "sklearn-pipeline",
"task": "text-classification",
"labels": {
"0": "negative",
"1": "neutral",
"2": "positive"
},
"features": "tfidf",
"accuracy": 0.3666666666666667
} |