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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Update widget with an example 71c5931
Create README.md f457475
Adding `safetensors` variant of this model (#2) c758102
upload flax model 5c229c4
allow flax b70ff6f
Updates labels 2d436e3
ugmSorcero commited on
First version of the biobert_ncbi_disease_ner model and tokenizer 7d339e4
ugmSorcero commited on