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sshan95
/
medicoder-ai-v2-model

Text Classification
Transformers
Safetensors
English
bert
medical
icd10
multilabel-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sshan95/medicoder-ai-v2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sshan95/medicoder-ai-v2-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sshan95/medicoder-ai-v2-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sshan95/medicoder-ai-v2-model")
    model = AutoModelForSequenceClassification.from_pretrained("sshan95/medicoder-ai-v2-model")
  • Notebooks
  • Google Colab
  • Kaggle
medicoder-ai-v2-model
519 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sshan95's picture
sshan95
Fix model format with proper config and weights
2106534 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    687 Bytes
    Fix model format with proper config and weights 10 months ago
  • config.json
    1.35 MB
    Fix model format with proper config and weights 10 months ago
  • model.safetensors
    517 MB
    xet
    Fix model format with proper config and weights 10 months ago
  • requirements.txt
    29 Bytes
    Convert Space to Model Repository 10 months ago
  • special_tokens_map.json
    125 Bytes
    Fix model format with proper config and weights 10 months ago
  • tokenizer.json
    711 kB
    Fix model format with proper config and weights 10 months ago
  • tokenizer_config.json
    1.22 kB
    Fix model format with proper config and weights 10 months ago
  • vocab.txt
    232 kB
    Fix model format with proper config and weights 10 months ago