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

Emova-ollm
/
emova_speech_tokenizer_hf

Feature Extraction
Transformers
Safetensors
English
Chinese
EMOVASpeechTokenizer
speech
tokenization
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Emova-ollm/emova_speech_tokenizer_hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Emova-ollm/emova_speech_tokenizer_hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Emova-ollm/emova_speech_tokenizer_hf", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Emova-ollm/emova_speech_tokenizer_hf", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
emova_speech_tokenizer_hf / examples
5.52 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
KaiChen1998's picture
KaiChen1998
Delete examples/images/test.txt
362cf7e verified about 1 year ago
  • images
    Delete examples/images/test.txt about 1 year ago
  • s2u
    add readme over 1 year ago
  • u2s
    add readme over 1 year ago