Instructions to use DeepPavlov/distilrubert-base-cased-conversational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/distilrubert-base-cased-conversational with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeepPavlov/distilrubert-base-cased-conversational", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 360a0aaaf00333a6c130dfeada05656574ac8e6d3cfc7ad53eef5d0e29bd8ad5
- Size of remote file:
- 542 MB
- SHA256:
- f9e0217105e0dc45a63b805f9e42c8215a926ace819146408c056952d42ea465
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