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

UsefulSensors
/
moonshine-tiny

Automatic Speech Recognition
Transformers
Safetensors
English
moonshine
Eval Results
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
moonshine-tiny
190 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
njeffrie's picture
njeffrie
Update README.md
40948a0 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    7.22 kB
    Update README.md over 1 year ago
  • config.json
    450 Bytes
    Upload model over 1 year ago
  • configuration_moonshine.py
    926 Bytes
    Upload model over 1 year ago
  • model.safetensors
    186 MB
    xet
    Upload model over 1 year ago
  • modeling_moonshine.py
    15.1 kB
    Upload model over 1 year ago
  • special_tokens_map.json
    3 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    3.76 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    136 kB
    Upload tokenizer over 1 year ago