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iceberg-nlp
/
miniLM-cdp-all

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

Instructions to use iceberg-nlp/miniLM-cdp-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use iceberg-nlp/miniLM-cdp-all with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="iceberg-nlp/miniLM-cdp-all")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("iceberg-nlp/miniLM-cdp-all")
    model = AutoModelForSequenceClassification.from_pretrained("iceberg-nlp/miniLM-cdp-all", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
miniLM-cdp-all
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
climabench's picture
climabench
Upload special_tokens_map.json
c680585 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • config.json
    854 Bytes
    Upload config.json about 4 years ago
  • pytorch_model.bin
    134 MB
    xet
    Upload pytorch_model.bin about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json about 4 years ago
  • tokenizer_config.json
    316 Bytes
    Upload tokenizer_config.json about 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Upload training_args.bin about 4 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt about 4 years ago