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Lwasinam
/
voicera

Text-to-Speech
Transformers
Safetensors
gpt2
text-generation
speech
text-generation-inference
Model card Files Files and versions
xet
Community
4

Instructions to use Lwasinam/voicera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lwasinam/voicera with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Lwasinam/voicera")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Lwasinam/voicera")
    model = AutoModelForCausalLM.from_pretrained("Lwasinam/voicera")
  • Notebooks
  • Google Colab
  • Kaggle
voicera
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Lwasinam's picture
Lwasinam
Update README.md
f74ea70 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.52 kB
    Update README.md almost 2 years ago
  • added_tokens.json
    40 Bytes
    Upload tokenizer almost 2 years ago
  • config.json
    769 Bytes
    Upload model almost 2 years ago
  • generation_config.json
    119 Bytes
    Upload model almost 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer almost 2 years ago
  • model.safetensors
    1.22 GB
    xet
    Upload model almost 2 years ago
  • special_tokens_map.json
    576 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    884 Bytes
    Upload tokenizer almost 2 years ago
  • vocab.json
    999 kB
    Upload tokenizer almost 2 years ago