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dev-analyzer
/
file_path_model

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

Instructions to use dev-analyzer/file_path_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dev-analyzer/file_path_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dev-analyzer/file_path_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dev-analyzer/file_path_model")
    model = AutoModelForSequenceClassification.from_pretrained("dev-analyzer/file_path_model")
  • Notebooks
  • Google Colab
  • Kaggle
file_path_model
439 MB
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  • 2 contributors
History: 2 commits
EmmaPesjak's picture
EmmaPesjak
Upload 6 files
87a243b verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.03 kB
    Upload 6 files almost 2 years ago
  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    132 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    232 kB
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