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SantoshAdabala
/
ClinicalFlamo

Token Classification
Transformers
Safetensors
ONNX
English
bert
clinical-nlp
named-entity-recognition
ner
biomedical
knowledge-distillation
phi-detection
quantization
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SantoshAdabala/ClinicalFlamo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SantoshAdabala/ClinicalFlamo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SantoshAdabala/ClinicalFlamo")
    model = AutoModelForTokenClassification.from_pretrained("SantoshAdabala/ClinicalFlamo")
  • Notebooks
  • Google Colab
  • Kaggle
ClinicalFlamo
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
SantoshAdabala's picture
SantoshAdabala
Fix tokenizer_config.json - add tokenizer_class and model_max_length
7b1427b verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    7.69 kB
    Update model card - correct architecture to DistilClinicalBERT 6-layer, 66M params, clinical vocab 28996 tokens 1 day ago
  • config.json
    1.19 kB
    Add pipeline_tag and widget examples to config.json 1 day ago
  • model.safetensors
    261 MB
    xet
    Upload folder using huggingface_hub 1 day ago
  • special_tokens_map.json
    695 Bytes
    Upload folder using huggingface_hub 1 day ago
  • tokenizer.json
    669 kB
    Upload folder using huggingface_hub 1 day ago
  • tokenizer_config.json
    1.22 kB
    Fix tokenizer_config.json - add tokenizer_class and model_max_length 1 day ago
  • vocab.txt
    213 kB
    Upload folder using huggingface_hub 1 day ago