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

  • Log In
  • Sign Up

asvs
/
qs-classifier-bert

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use asvs/qs-classifier-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use asvs/qs-classifier-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="asvs/qs-classifier-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("asvs/qs-classifier-bert")
    model = AutoModelForSequenceClassification.from_pretrained("asvs/qs-classifier-bert")
  • Notebooks
  • Google Colab
  • Kaggle
qs-classifier-bert / runs
9.76 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
asvs's picture
asvs
End of training
c116b5e over 3 years ago
  • Aug09_17-32-47_95ef15ff7797
    End of training over 3 years ago