Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

kittinan
/
exercise-feedback-classification

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

Instructions to use kittinan/exercise-feedback-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kittinan/exercise-feedback-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kittinan/exercise-feedback-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kittinan/exercise-feedback-classification")
    model = AutoModelForSequenceClassification.from_pretrained("kittinan/exercise-feedback-classification")
  • Notebooks
  • Google Colab
  • Kaggle
exercise-feedback-classification
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kittinan's picture
kittinan
Update README.md
d07afbd almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    481 Bytes
    Update README.md almost 5 years ago
  • config.json
    870 Bytes
    Update config.json almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    433 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add model almost 5 years ago
  • tokenizer.json
    436 kB
    add model almost 5 years ago
  • tokenizer_config.json
    330 Bytes
    add model almost 5 years ago
  • vocab.txt
    213 kB
    add model almost 5 years ago