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Flowerly
/
my-classification-model

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

Instructions to use Flowerly/my-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Flowerly/my-classification-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Flowerly/my-classification-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Flowerly/my-classification-model")
    model = AutoModelForSequenceClassification.from_pretrained("Flowerly/my-classification-model")
  • Notebooks
  • Google Colab
  • Kaggle
my-classification-model
1.13 GB
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  • 1 contributor
History: 3 commits
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be0bd49 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • config.json
    809 Bytes
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  • model.safetensors
    1.11 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    965 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.28 kB
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