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

facebook
/
mms-tts-lav

Text-to-Speech
Transformers
PyTorch
Safetensors
vits
text-to-audio
mms
Model card Files Files and versions
xet
Community
1

Instructions to use facebook/mms-tts-lav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/mms-tts-lav with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="facebook/mms-tts-lav")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-lav")
    model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-lav")
  • Notebooks
  • Google Colab
  • Kaggle
mms-tts-lav
291 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
sanchit-gandhi's picture
sanchit-gandhi
Upload README.md with huggingface_hub
d11f562 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.98 kB
    Upload README.md with huggingface_hub over 2 years ago
  • config.json
    1.64 kB
    Upload model over 2 years ago
  • model.safetensors
    145 MB
    xet
    Upload model over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    145 MB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    47 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    287 Bytes
    Upload tokenizer over 2 years ago
  • vocab.json
    413 Bytes
    Upload tokenizer over 2 years ago