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

  • Log In
  • Sign Up

devkyle
/
base-v2

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

Instructions to use devkyle/base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkyle/base-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkyle/base-v2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v2")
  • Notebooks
  • Google Colab
  • Kaggle
base-v2 / runs
68.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
devkyle's picture
devkyle
Training in progress, step 2000
18a83e4 verified over 1 year ago
  • Oct06_01-08-21_9a9fb2f24c7c
    Training in progress, step 2000 over 1 year ago
  • Oct06_08-53-05_1eb9ed285a26
    Training in progress, step 1000 over 1 year ago
  • Oct06_12-22-09_224116f4363b
    End of training over 1 year ago
  • Oct22_01-45-37_b633203d4f25
    Training in progress, step 1000 over 1 year ago
  • Oct22_01-46-27_b633203d4f25
    Training in progress, step 2000 over 1 year ago