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pius-code
/
asha_twi_tts_1

Transformers
Safetensors
vits
Model card Files Files and versions
xet
Community

Instructions to use pius-code/asha_twi_tts_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pius-code/asha_twi_tts_1 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("pius-code/asha_twi_tts_1")
    model = AutoModelForPreTraining.from_pretrained("pius-code/asha_twi_tts_1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
asha_twi_tts_1
3.32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
pius-code's picture
pius-code
Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282)
48d8b92 verified 23 days ago
  • checkpoint-38500
    Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282) 23 days ago
  • checkpoint-38750
    Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282) 23 days ago
  • checkpoint-39000
    Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282) 23 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload model about 1 month ago
  • added_tokens.json
    18 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • config.json
    2.04 kB
    Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282) 23 days ago
  • model.safetensors
    332 MB
    xet
    Update clean 3000-epoch fine-tuned VITS model (mel loss 0.282) 23 days ago
  • preprocessor_config.json
    254 Bytes
    Upload feature extractor about 1 month ago
  • special_tokens_map.json
    275 Bytes
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    670 Bytes
    Upload tokenizer about 1 month ago
  • vocab.json
    327 Bytes
    Upload folder using huggingface_hub about 1 month ago