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forthisdream
/
xlm-roberta-base-Intent-Twin

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

Instructions to use forthisdream/xlm-roberta-base-Intent-Twin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use forthisdream/xlm-roberta-base-Intent-Twin with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="forthisdream/xlm-roberta-base-Intent-Twin")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("forthisdream/xlm-roberta-base-Intent-Twin")
    model = AutoModelForSequenceClassification.from_pretrained("forthisdream/xlm-roberta-base-Intent-Twin")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base-Intent-Twin
1.13 GB
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  • 1 contributor
History: 5 commits
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forthisdream
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af8692e verified about 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    169 Bytes
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  • config.json
    2.87 kB
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  • model.safetensors
    1.11 GB
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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
    1.18 kB
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