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yangheng
/
deberta-v3-large-absa-v1.1

Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
sentiment-analysis
aspect-based-sentiment-analysis
deberta
pyabsa
efficient
lightweight
production-ready
no-llm
Model card Files Files and versions
xet
Community
2

Instructions to use yangheng/deberta-v3-large-absa-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yangheng/deberta-v3-large-absa-v1.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yangheng/deberta-v3-large-absa-v1.1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("yangheng/deberta-v3-large-absa-v1.1")
    model = AutoModelForSequenceClassification.from_pretrained("yangheng/deberta-v3-large-absa-v1.1")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-large-absa-v1.1
3.48 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 9 commits
yangheng's picture
yangheng
Update README.md
45cff78 verified 10 months ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • README.md
    5.27 kB
    Update README.md 10 months ago
  • added_tokens.json
    18 Bytes
    init about 4 years ago
  • config.json
    1.04 kB
    Update config.json about 4 years ago
  • model.safetensors
    1.74 GB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.74 GB
    xet
    init about 4 years ago
  • special_tokens_map.json
    156 Bytes
    init about 4 years ago
  • spm.model
    2.46 MB
    xet
    init about 4 years ago
  • tokenizer_config.json
    397 Bytes
    init about 4 years ago