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OpenMOSS-Team
/
cpt-large

Text Classification
Transformers
PyTorch
Safetensors
Chinese
bart
text2text-generation
fill-mask
Summarization
Chinese
CPT
BART
BERT
seq2seq
Model card Files Files and versions
xet
Community
3

Instructions to use OpenMOSS-Team/cpt-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenMOSS-Team/cpt-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="OpenMOSS-Team/cpt-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("OpenMOSS-Team/cpt-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("OpenMOSS-Team/cpt-large")
  • Notebooks
  • Google Colab
  • Kaggle
cpt-large
1.74 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 13 commits
yinnxinn's picture
yinnxinn
fix bugs
1b75f78 almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.72 kB
    fix bugs almost 4 years ago
  • config.json
    1.63 kB
    update cpt-large over 4 years ago
  • pytorch_model.bin
    1.74 GB
    xet
    update cpt-large over 4 years ago
  • special_tokens_map.json
    112 Bytes
    update cpt-large over 4 years ago
  • tokenizer_config.json
    449 Bytes
    update cpt-large over 4 years ago
  • vocab.txt
    110 kB
    update cpt-large over 4 years ago