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ingeol
/
rm_merge

Feature Extraction
Transformers
PyTorch
gpt_neox
Model card Files Files and versions
xet
Community

Instructions to use ingeol/rm_merge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ingeol/rm_merge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ingeol/rm_merge")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ingeol/rm_merge")
    model = AutoModel.from_pretrained("ingeol/rm_merge")
  • Notebooks
  • Google Colab
  • Kaggle
rm_merge
Ctrl+K
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  • 1 contributor
History: 3 commits
ingeol's picture
ingeol
Upload tokenizer
b89d5b5 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    757 Bytes
    Upload model over 2 years ago
  • pytorch_model-00001-of-00002.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    9.91 GB
    xet
    Upload model over 2 years ago
  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.61 GB
    xet
    Upload model over 2 years ago
  • pytorch_model.bin.index.json
    28.9 kB
    Upload model over 2 years ago
  • special_tokens_map.json
    185 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    1.65 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    236 Bytes
    Upload tokenizer over 2 years ago