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:
- 84ad30d149d6e226ba9b78383156bdfc61e2b9ec1d646173f90f6c58a0d6585f
- Size of remote file:
- 431 MB
- SHA256:
- 585cec23d1012320784e662f031c692f9febf0ff64df1ce3ca35ae1bf764aca6
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