Instructions to use scikit-learn/transformers-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use scikit-learn/transformers-imdb with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("scikit-learn/transformers-imdb", "pipeline.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
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# Model description
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This is a logistic regression model trained with GPT-2 embeddings on imdb dataset.
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The notebook to generate this model is in this repository and in this [kaggle link](https://www.kaggle.com/code/unofficialmerve/
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## Intended uses & limitations
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# Model description
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This is a logistic regression model trained with GPT-2 embeddings on imdb dataset.
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The notebook to generate this model is in this repository and in this [kaggle link](https://www.kaggle.com/code/unofficialmerve/scikit-learn-with-transformers-with-skops/notebook).
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## Intended uses & limitations
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