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dewdev
/
language_detection

Text Classification
Transformers
LiteRT
ONNX
Safetensors
bert
language
detection
classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dewdev/language_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dewdev/language_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dewdev/language_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dewdev/language_detection")
    model = AutoModelForSequenceClassification.from_pretrained("dewdev/language_detection")
  • Notebooks
  • Google Colab
  • Kaggle
language_detection
370 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
dewdev's picture
dewdev
Upload tokenizer.json
86c0047 verified about 1 year ago
  • onnx
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  • tflite
    Upload 4 files about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    4.81 kB
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  • config.json
    9.4 kB
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  • model.safetensors
    97.8 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • to_onnx.py
    2.52 kB
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  • tokenizer.json
    1.11 MB
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  • tokenizer_config.json
    1.21 kB
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  • vocab.txt
    315 kB
    Upload 9 files about 1 year ago