Instructions to use vera-pro/bert-mention-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vera-pro/bert-mention-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vera-pro/bert-mention-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vera-pro/bert-mention-en") model = AutoModelForTokenClassification.from_pretrained("vera-pro/bert-mention-en") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e732845db0ef3a35af06c70b11450f776de4dbdb853a9c56eb7ce2820707d744
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size 433300591
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