Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

NbAiLabBeta
/
nb-whisper-tiny

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
TensorBoard
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use NbAiLabBeta/nb-whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLabBeta/nb-whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLabBeta/nb-whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabBeta/nb-whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
nb-whisper-tiny / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
pere's picture
pere
Saving test results
374c84d over 2 years ago
  • Jan07_21-32-39_t1v-n-2b6412d5-w-3
    Saving test results over 2 years ago