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
- Xet hash:
- 27f18c5f29b6d936d86c4a910626101d8a9e6282f475daabe912c48f0b02d77a
- Size of remote file:
- 431 MB
- SHA256:
- 9ec0098585647353075c81009eb0b6d7da6cbce902ba3d3ac45493dc5d2b1110
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