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nlptown
/
bert-base-multilingual-uncased-sentiment

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Safetensors
bert
Model card Files Files and versions
xet
Community
27

Instructions to use nlptown/bert-base-multilingual-uncased-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nlptown/bert-base-multilingual-uncased-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-multilingual-uncased-sentiment
2.68 GB
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  • 7 contributors
History: 20 commits
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nlptown
Update README.md
8f6f4e3 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • flax_model.msgpack
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  • model.safetensors
    669 MB
    xet
    Adding `safetensors` variant of this model (#24) over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    669 MB
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    Update pytorch_model.bin over 6 years ago
  • special_tokens_map.json
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  • tf_model.h5
    670 MB
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  • tokenizer_config.json
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  • vocab.txt
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