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lilishian
/
GPTMups-English

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

Instructions to use lilishian/GPTMups-English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lilishian/GPTMups-English with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lilishian/GPTMups-English")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lilishian/GPTMups-English")
    model = AutoModelForSequenceClassification.from_pretrained("lilishian/GPTMups-English")
  • Notebooks
  • Google Colab
  • Kaggle
GPTMups-English
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lilishian's picture
lilishian
Rename gptMups_English_model.bin to pytorch_model.bin
c6ce8cb about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    105 Bytes
    Update README.md about 3 years ago
  • config.json
    858 Bytes
    Upload 7 files about 3 years ago
  • merges.txt
    456 kB
    Upload 7 files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    499 MB
    xet
    Rename gptMups_English_model.bin to pytorch_model.bin about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload 7 files about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload 7 files about 3 years ago
  • tokenizer_config.json
    391 Bytes
    Upload 7 files about 3 years ago
  • vocab.json
    798 kB
    Upload 7 files about 3 years ago