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Sifal
/
ClinicalMosaic

Fill-Mask
Transformers
Safetensors
English
bert
feature-extraction
clinical
healthcare
NLP
BERT
MIMIC-IV
MedNLI
transformer
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Sifal/ClinicalMosaic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sifal/ClinicalMosaic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Sifal/ClinicalMosaic", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Sifal/ClinicalMosaic", trust_remote_code=True)
    model = AutoModel.from_pretrained("Sifal/ClinicalMosaic", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
ClinicalMosaic
547 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 77 commits
Sifal's picture
Sifal
Delete bert_embeddings.py
228bda9 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    8.2 kB
    Update README.md about 1 year ago
  • automodel.py
    15.8 kB
    add missing parts about 1 year ago
  • bert_layers_mosa.py
    32.6 kB
    rm flash att about 1 year ago
  • bert_padding.py
    6.29 kB
    Rename utils/bert_padding.py to bert_padding.py about 1 year ago
  • config.json
    1.08 kB
    ( -_•)·︻テحكـ━一 , about 1 year ago
  • configuration_bert.py
    1.04 kB
    Update configuration_bert.py about 1 year ago
  • model.safetensors
    547 MB
    xet
    Upload model almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago