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daveni
/
twitter-xlm-roberta-emotion-es

Text Classification
Transformers
PyTorch
Spanish
xlm-roberta
Emotion Analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use daveni/twitter-xlm-roberta-emotion-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use daveni/twitter-xlm-roberta-emotion-es with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="daveni/twitter-xlm-roberta-emotion-es")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("daveni/twitter-xlm-roberta-emotion-es")
    model = AutoModelForSequenceClassification.from_pretrained("daveni/twitter-xlm-roberta-emotion-es")
  • Notebooks
  • Google Colab
  • Kaggle
twitter-xlm-roberta-emotion-es
1.13 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
daveni's picture
daveni
Update README.md
ab57a11 about 4 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    3.82 kB
    Update README.md about 4 years ago
  • config.json
    1 kB
    add model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    add model about 5 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    add model about 5 years ago
  • special_tokens_map.json
    239 Bytes
    add model about 5 years ago
  • tokenizer.json
    9.08 MB
    add model about 5 years ago
  • tokenizer_config.json
    350 Bytes
    add model about 5 years ago