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

  • Log In
  • Sign Up

Paywinful
/
output

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Paywinful/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Paywinful/output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Paywinful/output")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Paywinful/output")
    model = AutoModelForCTC.from_pretrained("Paywinful/output")
  • Notebooks
  • Google Colab
  • Kaggle
output
Ctrl+K
Ctrl+K
  • 1 contributor
History: 292 commits
Paywinful's picture
Paywinful
Training in progress, step 24500
77ae077 verified 10 months ago
  • logs
    Training in progress, step 42200 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.21 kB
    End of training 10 months ago
  • added_tokens.json
    30 Bytes
    End of training 10 months ago
  • config.json
    1.87 kB
    End of training 10 months ago
  • model.safetensors
    2.42 GB
    xet
    Training in progress, step 24500 10 months ago
  • preprocessor_config.json
    275 Bytes
    End of training 10 months ago
  • special_tokens_map.json
    548 Bytes
    End of training 10 months ago
  • tokenizer_config.json
    1.13 kB
    End of training 10 months ago
  • training_args.bin
    5.71 kB
    xet
    Training in progress, step 1500 10 months ago
  • vocab.json
    762 Bytes
    End of training 10 months ago