Instructions to use Salvatore/bert-finetuned-mutation-recognition-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salvatore/bert-finetuned-mutation-recognition-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Salvatore/bert-finetuned-mutation-recognition-2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Salvatore/bert-finetuned-mutation-recognition-2") model = AutoModelForTokenClassification.from_pretrained("Salvatore/bert-finetuned-mutation-recognition-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78dd5e3c4f97f6e81d80008025aa8ecb427a2649cfdc33ca8af8688a322b7f2c
- Size of remote file:
- 3.06 kB
- SHA256:
- 5e98b3360cba00540c99db1b0e785c3b15e50e142aec799b01b7310795c54b72
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