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:
- 424e16dcef81d3e003a7c84068898d90dd8f47c0a933d10daed19a021af2c68a
- Size of remote file:
- 954 Bytes
- SHA256:
- 2ae660b7ba93b018ee417f373b433555dcd7cee650257f677151b91c6901e7e2
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