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tezign
/
BERT-LSTM-based-ABSA

Text Classification
Transformers
PyTorch
English
BertABSAForSequenceClassification
aspect-term-sentiment-analysis
ATSA
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use tezign/BERT-LSTM-based-ABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tezign/BERT-LSTM-based-ABSA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tezign/BERT-LSTM-based-ABSA", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("tezign/BERT-LSTM-based-ABSA", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-LSTM-based-ABSA
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
trek90s
Update README.md
30bf7f7 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.44 kB
    Update README.md almost 4 years ago
  • config.json
    628 Bytes
    add model almost 4 years ago
  • configuration.py
    891 Bytes
    add model almost 4 years ago
  • model.py
    5.48 kB
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    400 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago