Instructions to use sschet/biobert_diseases_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sschet/biobert_diseases_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sschet/biobert_diseases_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sschet/biobert_diseases_ner") model = AutoModelForTokenClassification.from_pretrained("sschet/biobert_diseases_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db5146fc6b4804d18bf007b1cf915f72ae9d449dbfcfead847d39ba71c97fe32
- Size of remote file:
- 2.1 kB
- SHA256:
- 261fe69ef34154932be6593cff0f885baa0fa7c66ed8421dbb048c1aed5cc5ae
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