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 eval_results.txt
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eval_results.txt
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eval_loss = 0.031895689770473155
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eval_precision = 0.9740063726312259
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eval_recall = 0.9771197846567967
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eval_f1 = 0.9755605946082136
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epoch = 5.0
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