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Kyrmasch
/
test-finetuning

Feature Extraction
Transformers
PyTorch
t5
Model card Files Files and versions
xet
Community
1

Instructions to use Kyrmasch/test-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kyrmasch/test-finetuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Kyrmasch/test-finetuning")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Kyrmasch/test-finetuning")
    model = AutoModel.from_pretrained("Kyrmasch/test-finetuning")
  • Notebooks
  • Google Colab
  • Kaggle
test-finetuning
894 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Kyrmasch's picture
Kyrmasch
Upload 5 files
0315554 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    746 Bytes
    Upload 5 files almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload 5 files almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload 5 files almost 3 years ago
  • tokenizer.json
    2.25 MB
    Upload 5 files almost 3 years ago
  • tokenizer_config.json
    2.35 kB
    Upload 5 files almost 3 years ago