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ewqr2130
/
your-model-name

Text Classification
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ewqr2130/your-model-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ewqr2130/your-model-name with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ewqr2130/your-model-name")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ewqr2130/your-model-name")
    model = AutoModelForSequenceClassification.from_pretrained("ewqr2130/your-model-name")
  • Notebooks
  • Google Colab
  • Kaggle
your-model-name
4.14 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
3v324v23's picture
3v324v23
First version of the your-model-name model and tokenizer.
20cb3a4 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    6 Bytes
    Update from over 2 years ago
  • config.json
    798 Bytes
    First version of the your-model-name model and tokenizer. over 2 years ago
  • model.safetensors
    4.14 GB
    xet
    First version of the your-model-name model and tokenizer. over 2 years ago
  • special_tokens_map.json
    552 Bytes
    First version of the your-model-name model and tokenizer. over 2 years ago
  • tokenizer.json
    1.84 MB
    First version of the your-model-name model and tokenizer. over 2 years ago
  • tokenizer_config.json
    1.04 kB
    First version of the your-model-name model and tokenizer. over 2 years ago