Instructions to use DeepPavlov/bert-base-cased-conversational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/bert-base-cased-conversational with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepPavlov/bert-base-cased-conversational")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/bert-base-cased-conversational") model = AutoModel.from_pretrained("DeepPavlov/bert-base-cased-conversational") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
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tokenizer_config.json
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{"do_lower_case": false}
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