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am-azadi
/
best-model

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

Instructions to use am-azadi/best-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use am-azadi/best-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="am-azadi/best-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("am-azadi/best-model")
    model = AutoModelForSequenceClassification.from_pretrained("am-azadi/best-model")
  • Notebooks
  • Google Colab
  • Kaggle
best-model
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
am-azadi's picture
am-azadi
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ecd6b07 verified over 2 years ago
  • .gitattributes
    1.57 kB
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  • config.json
    1.09 kB
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  • model.safetensors
    2.24 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.15 kB
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