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msaavedra1234
/
tinyllama-t-full-2e

Feature Extraction
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use msaavedra1234/tinyllama-t-full-2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msaavedra1234/tinyllama-t-full-2e with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="msaavedra1234/tinyllama-t-full-2e")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("msaavedra1234/tinyllama-t-full-2e")
    model = AutoModel.from_pretrained("msaavedra1234/tinyllama-t-full-2e")
  • Notebooks
  • Google Colab
  • Kaggle
tinyllama-t-full-2e
4.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
msaavedra1234's picture
msaavedra1234
Upload tokenizer
07c0bbf over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    673 Bytes
    Upload model over 2 years ago
  • model.safetensors
    4.14 GB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    551 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    1.84 MB
    Upload tokenizer over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.43 kB
    Upload tokenizer over 2 years ago