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

MERaLiON
/
MERaLiON-SER-v1

Feature Extraction
Transformers
Safetensors
ser-whisper-ecapa
meralion-ser-v1
speech
best-rq
meralion
meralion-2
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use MERaLiON/MERaLiON-SER-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MERaLiON/MERaLiON-SER-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MERaLiON/MERaLiON-SER-v1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MERaLiON/MERaLiON-SER-v1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

model's performance metrics

2
#3 opened 2 months ago by
FENGYinLeo

The model loading process requires the config file of openai/whisper-medium

1
#2 opened 8 months ago by
rootikun

Checkpoint does not match model architecture

1
#1 opened 9 months ago by
TomSchimansky
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs