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Blue7Bird
/
Roboust_nlp_m-Bert

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

Instructions to use Blue7Bird/Roboust_nlp_m-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Blue7Bird/Roboust_nlp_m-Bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Blue7Bird/Roboust_nlp_m-Bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Blue7Bird/Roboust_nlp_m-Bert")
    model = AutoModelForSequenceClassification.from_pretrained("Blue7Bird/Roboust_nlp_m-Bert")
  • Notebooks
  • Google Colab
  • Kaggle
Roboust_nlp_m-Bert
411 MB
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  • 1 contributor
History: 3 commits
Blue7Bird's picture
Blue7Bird
Upload tokenizer
268ed7f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    833 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    410 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    504 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.4 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    169 kB
    Upload tokenizer over 1 year ago