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ybelkada
/
opt-125m-debug

Feature Extraction
Transformers
PyTorch
opt
Model card Files Files and versions
xet
Community
4

Instructions to use ybelkada/opt-125m-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ybelkada/opt-125m-debug with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ybelkada/opt-125m-debug")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ybelkada/opt-125m-debug")
    model = AutoModel.from_pretrained("ybelkada/opt-125m-debug")
  • Notebooks
  • Google Colab
  • Kaggle
opt-125m-debug
1 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
pszemraj's picture
pszemraj
Adding `safetensors` variant of this model
8e01682 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    42 Bytes
    Create README.md about 4 years ago
  • config.json
    722 Bytes
    Change BOS token from 0 to 2 as BOS token is equal to EOS for OPT. See: https://github.com/huggingface/transformers/issues/17431 (#1) almost 4 years ago
  • model.safetensors
    501 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    501 MB
    xet
    v1 - model about 4 years ago