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
Commit History
19 days ago
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Model card: figures from the paper (released pipeline), code and archive links, revision v2.5
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Update README.md
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model card: revised pipeline is screen -> gene gate -> LLM; cross-encoder off the critical path
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Model card: correct metrics for add20k seed 44 (fire rate 0.51%, 37,335-row training set, deployment-scale precision, EvAgg comparison)
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add20k retrain (seed 44): 20k corpus negatives, 24.0% train prevalence; PubMed fire rate 19.46% -> 0.51%; test F1 0.914
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fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label
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Upload README.md
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add label2id
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Delete training_args.bin
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Delete .gitattributes
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Overwrite main with v2.0.0 and clean old_* files
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Upload folder using huggingface_hub
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initial commit
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