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marianna13
/
bert-multilingual-sentiment

Text Classification
Transformers
PyTorch
bert
sentiment analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use marianna13/bert-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marianna13/bert-multilingual-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="marianna13/bert-multilingual-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("marianna13/bert-multilingual-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("marianna13/bert-multilingual-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
bert-multilingual-sentiment
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  • 1 contributor
History: 4 commits
marianna13's picture
marianna13
Create README.md
5766dd7 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    131 Bytes
    Create README.md about 3 years ago
  • config.json
    1.23 kB
    Upload BertForSequenceClassification about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    670 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.56 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    608 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    872 kB
    Upload tokenizer about 3 years ago