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tmy100000001
/
LitDD_BERT

Text Classification
Transformers
Safetensors
modernbert
biomedical
literature-mining
genomics
rare-disease
text-embeddings-inference
Model card Files Files and versions
xet
Community

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")
    # 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
LitDD_BERT
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
tmy100000001's picture
tmy100000001
fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label
996f6f8 verified 3 days ago
  • .gitattributes
    54 Bytes
    fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label 3 days ago
  • README.md
    7.14 kB
    fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label 3 days ago
  • config.json
    1.51 kB
    add label2id 9 days ago
  • model.safetensors
    1.58 GB
    xet
    fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label 3 days ago
  • special_tokens_map.json
    694 Bytes
    Upload folder using huggingface_hub 10 months ago
  • tokenizer.json
    3.58 MB
    fp32 retrain (seed 42): F1 0.921, external recall 98.9%; adds id2label 3 days ago
  • tokenizer_config.json
    20.8 kB
    Upload folder using huggingface_hub 10 months ago