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vaivTA
/
absa_v2_sentiment

Text Classification
Transformers
Safetensors
electra
Model card Files Files and versions
xet
Community

Instructions to use vaivTA/absa_v2_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vaivTA/absa_v2_sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vaivTA/absa_v2_sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vaivTA/absa_v2_sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("vaivTA/absa_v2_sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
absa_v2_sentiment
873 MB
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  • 1 contributor
History: 3 commits
cccornflake's picture
cccornflake
Upload ./sentiment_model.pt with huggingface_hub
480bd29 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    31 Bytes
    initial commit almost 2 years ago
  • config.json
    862 Bytes
    Upload ElectraForSequenceClassification almost 2 years ago
  • model.safetensors
    436 MB
    xet
    Upload ElectraForSequenceClassification almost 2 years ago
  • sentiment_model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    436 MB
    xet
    Upload ./sentiment_model.pt with huggingface_hub almost 2 years ago