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ibm-granite
/
granite-20b-code-instruct-accelerator

Transformers
PyTorch
mlp_speculator
Model card Files Files and versions
xet
Community
4

Instructions to use ibm-granite/granite-20b-code-instruct-accelerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibm-granite/granite-20b-code-instruct-accelerator with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ibm-granite/granite-20b-code-instruct-accelerator", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
granite-20b-code-instruct-accelerator
3.38 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
JRosenkranz's picture
JRosenkranz
sahilsuneja's picture
sahilsuneja
r1.1 (#3)
0904a50 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    4.25 kB
    Update README.md almost 2 years ago
  • config.json
    373 Bytes
    r1.1 (#3) over 1 year ago
  • merges.txt
    442 kB
    initial upload of model weights almost 2 years ago
  • pytorch_model.bin
    3.37 GB
    xet
    r1.1 (#3) over 1 year ago
  • special_tokens_map.json
    1.02 kB
    r1.1 (#3) over 1 year ago
  • tokenizer.json
    2.06 MB
    r1.1 (#3) over 1 year ago
  • tokenizer_config.json
    4.53 kB
    r1.1 (#3) over 1 year ago
  • vocab.json
    777 kB
    initial upload of model weights almost 2 years ago