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mattymchen
/
deebert-base-sst2

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use mattymchen/deebert-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mattymchen/deebert-base-sst2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mattymchen/deebert-base-sst2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mattymchen/deebert-base-sst2")
    model = AutoModelForSequenceClassification.from_pretrained("mattymchen/deebert-base-sst2")
  • Notebooks
  • Google Colab
  • Kaggle
deebert-base-sst2
467 MB
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  • 1 contributor
History: 3 commits
mattymchen's picture
mattymchen
Upload tokenizer
318dd27 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    711 Bytes
    Upload DeeBertForSequenceClassification almost 3 years ago
  • pytorch_model.bin
    466 MB
    xet
    Upload DeeBertForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    439 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago