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:
- ab05f73d2f2ac9a3beb4294c4ff5bca4013494dcb918a79899eedacb1602fa2f
- Size of remote file:
- 431 MB
- SHA256:
- 87fe36f411970978003b90ead891057c31b0adcb32e5338dda79d745aa57965c
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