Text Classification
Transformers
Safetensors
modernbert
biomedical
literature-mining
genomics
rare-disease
text-embeddings-inference
Instructions to use tmy100000001/LitDD_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tmy100000001/LitDD_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tmy100000001/LitDD_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tmy100000001/LitDD_BERT") model = AutoModelForSequenceClassification.from_pretrained("tmy100000001/LitDD_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Model card: figures from the paper (released pipeline), code and archive links, revision v2.5
a39803f verified