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

junnei
/
gemma-3-4b-it-speech

Automatic Speech Recognition
Transformers
Safetensors
gemma3mm
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
7

Instructions to use junnei/gemma-3-4b-it-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junnei/gemma-3-4b-it-speech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="junnei/gemma-3-4b-it-speech", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("junnei/gemma-3-4b-it-speech", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-3-4b-it-speech / examples
53.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
junnei's picture
junnei
Upload finetune_speech.py
2c3732b verified about 1 year ago
  • evaluate_speech.py
    25.2 kB
    Upload evaluate_speech.py about 1 year ago
  • finetune_speech.py
    28.6 kB
    Upload finetune_speech.py about 1 year ago