Instructions to use browndw/docusco-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use browndw/docusco-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="browndw/docusco-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("browndw/docusco-bert") model = AutoModelForTokenClassification.from_pretrained("browndw/docusco-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 439fb30
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:f97d87ca7626f5b9d07efe0780e2a353ad31e60d958c9cfcb2c2da253d03252c
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size 431119644
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