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ljh1
/
hello-custom

Text Classification
Transformers
PyTorch
English
distilbert
emotion
endpoints-template
Model card Files Files and versions
xet
Community
1

Instructions to use ljh1/hello-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ljh1/hello-custom with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ljh1/hello-custom")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ljh1/hello-custom")
    model = AutoModelForSequenceClassification.from_pretrained("ljh1/hello-custom")
  • Notebooks
  • Google Colab
  • Kaggle
hello-custom
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  • 2 contributors
History: 27 commits
li-plus's picture
li-plus
Add tracing
e7b6883 over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    285 Bytes
    Update README.md over 3 years ago
  • config.json
    768 Bytes
    Upload config.json over 3 years ago
  • handler.py
    1.23 kB
    Add tracing over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
    xet
    Upload pytorch_model.bin with git-lfs over 3 years ago
  • requirements.txt
    8 Bytes
    Update requirements.txt over 3 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 3 years ago
  • tokenizer_config.json
    291 Bytes
    Upload tokenizer_config.json over 3 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt over 3 years ago