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tweetpie
/
masked-absa-rest14

Transformers
Safetensors
English
t5
text2text-generation
aspect-based-sentiment-analysis
absa
natural-language-processing
masked-absa
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use tweetpie/masked-absa-rest14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tweetpie/masked-absa-rest14 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tweetpie/masked-absa-rest14")
    model = AutoModelForSeq2SeqLM.from_pretrained("tweetpie/masked-absa-rest14")
  • Notebooks
  • Google Colab
  • Kaggle
masked-absa-rest14
3.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
tweetpie's picture
tweetpie
Update README.md
2ed76bb verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    730 Bytes
    Update README.md almost 2 years ago
  • added_tokens.json
    2.59 kB
    Upload tokenizer about 2 years ago
  • config.json
    888 Bytes
    Update config.json about 2 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • model.safetensors
    3.13 GB
    xet
    Upload T5ForConditionalGeneration about 2 years ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer about 2 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer about 2 years ago