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rushilJariwala
/
bert-base-cased-paraphrase-classification

Text Classification
Transformers
Safetensors
English
bert
code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rushilJariwala/bert-base-cased-paraphrase-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rushilJariwala/bert-base-cased-paraphrase-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rushilJariwala/bert-base-cased-paraphrase-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rushilJariwala/bert-base-cased-paraphrase-classification")
    model = AutoModelForSequenceClassification.from_pretrained("rushilJariwala/bert-base-cased-paraphrase-classification")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-cased-paraphrase-classification
439 MB
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  • 2 contributors
History: 3 commits
rushilJariwala's picture
rushilJariwala
update README.md
81b39cb verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.78 kB
    update README.md almost 2 years ago
  • config.json
    727 Bytes
    Add fine-tuned model and tokenizer almost 2 years ago
  • model.safetensors
    438 MB
    xet
    Add fine-tuned model and tokenizer almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Add fine-tuned model and tokenizer almost 2 years ago
  • tokenizer.json
    711 kB
    Add fine-tuned model and tokenizer almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    Add fine-tuned model and tokenizer almost 2 years ago
  • vocab.txt
    232 kB
    Add fine-tuned model and tokenizer almost 2 years ago