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
Commit ·
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Parent(s): fcc268a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:43b49cc4b3a75f2ca3f7b0f9389ea17cd386306731f363786fabac6dece4e601
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size 433248237
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