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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

smcleod
/
ibm-granite-speech-4.1-2b-nar-onnx

Automatic Speech Recognition
Transformers
ONNX
English
onnxruntime
speech
asr
granite
ibm
quantized
int8
fp16
non-autoregressive
nar
Model card Files Files and versions
xet
Community

Instructions to use smcleod/ibm-granite-speech-4.1-2b-nar-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smcleod/ibm-granite-speech-4.1-2b-nar-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="smcleod/ibm-granite-speech-4.1-2b-nar-onnx")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("smcleod/ibm-granite-speech-4.1-2b-nar-onnx", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ibm-granite-speech-4.1-2b-nar-onnx
7.35 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
smcleod's picture
smcleod
Upload README.md with huggingface_hub
2b6be93 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.83 kB
    Upload README.md with huggingface_hub 2 months ago