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nabilfaieaz
/
tinyllama-med-full

Question Answering
Transformers
Safetensors
PEFT
English
llama
text-generation
tinyllama
lora
instruction-tuned
Lora
merged
medical
healthcare
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use nabilfaieaz/tinyllama-med-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nabilfaieaz/tinyllama-med-full with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="nabilfaieaz/tinyllama-med-full")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("nabilfaieaz/tinyllama-med-full")
    model = AutoModelForCausalLM.from_pretrained("nabilfaieaz/tinyllama-med-full")
  • PEFT

    How to use nabilfaieaz/tinyllama-med-full with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
tinyllama-med-full
2.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nabilfaieaz's picture
nabilfaieaz
Create README.md
f9e026b verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    3.58 kB
    Create README.md 11 months ago
  • chat_template.jinja
    410 Bytes
    Upload folder using huggingface_hub 11 months ago
  • config.json
    674 Bytes
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  • generation_config.json
    124 Bytes
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  • model.safetensors
    2.2 GB
    xet
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  • special_tokens_map.json
    551 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    951 Bytes
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