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mhmmterts
/
test_local_uploaded_model

Text Classification
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mhmmterts/test_local_uploaded_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mhmmterts/test_local_uploaded_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mhmmterts/test_local_uploaded_model")
    model = AutoModelForSequenceClassification.from_pretrained("mhmmterts/test_local_uploaded_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test_local_uploaded_model
1.75 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
mhmmterts's picture
mhmmterts
Rename config.safetensors to model.safetensors
21c5c26 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    884 Bytes
    Upload 6 files over 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Rename config.safetensors to model.safetensors over 2 years ago
  • special_tokens_map.json
    965 Bytes
    Upload 6 files over 2 years ago
  • tokenizer.json
    6.1 MB
    Upload 6 files over 2 years ago
  • tokenizer_config.json
    1.34 kB
    Upload 6 files over 2 years ago
  • training_args.bin
    4.66 kB
    xet
    Upload 6 files over 2 years ago