Instructions to use kbulutozler/distilbert-base-uncased-FT-ner-BC5CDR-disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbulutozler/distilbert-base-uncased-FT-ner-BC5CDR-disease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kbulutozler/distilbert-base-uncased-FT-ner-BC5CDR-disease")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kbulutozler/distilbert-base-uncased-FT-ner-BC5CDR-disease") model = AutoModelForTokenClassification.from_pretrained("kbulutozler/distilbert-base-uncased-FT-ner-BC5CDR-disease") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36fb3ca593cf64af4a4e59e31f2fef8675878bdce324585ec40ea83646d62ff9
- Size of remote file:
- 265 MB
- SHA256:
- c6c4602caf28d7ec71e90eebbcd78c4a0604641963ca9f9a23461f32aeceea0d
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