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vedhamani
/
CareMinds-AI

Text Classification
Transformers
Safetensors
English
llama
text-generation
medical
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use vedhamani/CareMinds-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vedhamani/CareMinds-AI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vedhamani/CareMinds-AI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("vedhamani/CareMinds-AI")
    model = AutoModelForCausalLM.from_pretrained("vedhamani/CareMinds-AI")
  • Notebooks
  • Google Colab
  • Kaggle
CareMinds-AI
4.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
vedhamani's picture
vedhamani
Update README.md
c16812f verified 26 days ago
  • .gitattributes
    1.52 kB
    initial commit 27 days ago
  • README.md
    2.82 kB
    Update README.md 26 days ago
  • config.json
    744 Bytes
    Upload LlamaForCausalLM 26 days ago
  • generation_config.json
    131 Bytes
    Upload LlamaForCausalLM 26 days ago
  • model.safetensors
    4.4 GB
    xet
    Upload LlamaForCausalLM 26 days ago
  • special_tokens_map.json
    581 Bytes
    Upload tokenizer 26 days ago
  • tokenizer.json
    1.84 MB
    Upload tokenizer 26 days ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer 26 days ago