Token Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
bert
disease
biology
medical
Instructions to use ugaray96/biobert_ncbi_disease_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ugaray96/biobert_ncbi_disease_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ugaray96/biobert_ncbi_disease_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ugaray96/biobert_ncbi_disease_ner") model = AutoModelForTokenClassification.from_pretrained("ugaray96/biobert_ncbi_disease_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3819ae9ba0453cc1c9c26108490c03cab1a8605fc10b1f41cfbeec6e20c09320
- Size of remote file:
- 431 MB
- SHA256:
- 6a5f3605a779689c54086c1c84176fdae1c0f7785dc0926f207ea7506c962632
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