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dotvignesh
/
raven-3b

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use dotvignesh/raven-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dotvignesh/raven-3b with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("dotvignesh/raven-3b")
    model = AutoModelForSeq2SeqLM.from_pretrained("dotvignesh/raven-3b")
  • Notebooks
  • Google Colab
  • Kaggle
raven-3b
4.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dotvignesh's picture
dotvignesh
model + tokenizer
8279574 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    28 Bytes
    initial commit about 3 years ago
  • added_tokens.json
    150 Bytes
    model + tokenizer about 3 years ago
  • config.json
    1.69 kB
    model + tokenizer about 3 years ago
  • generation_config.json
    142 Bytes
    model + tokenizer about 3 years ago
  • pytorch_model.bin
    4.5 GB
    xet
    model + tokenizer about 3 years ago
  • special_tokens_map.json
    2.2 kB
    model + tokenizer about 3 years ago
  • spiece.model
    792 kB
    xet
    model + tokenizer about 3 years ago
  • tokenizer_config.json
    2.4 kB
    model + tokenizer about 3 years ago