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

Splintir
/
speecht5_tts-pld-hil-v2

Text-to-Speech
Transformers
Safetensors
Hiligaynon
speecht5
text-to-audio
philippines
philippine-languages
Model card Files Files and versions
xet
Community

Instructions to use Splintir/speecht5_tts-pld-hil-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Splintir/speecht5_tts-pld-hil-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Splintir/speecht5_tts-pld-hil-v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Splintir/speecht5_tts-pld-hil-v2")
    model = AutoModelForTextToSpectrogram.from_pretrained("Splintir/speecht5_tts-pld-hil-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5_tts-pld-hil-v2
2.31 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
Splintir's picture
Splintir
Add sample_1.wav
740cd75 verified 7 days ago
  • last-checkpoint
    Model save 7 days ago
  • samples
    Add sample_1.wav 7 days ago
  • .gitattributes
    1.58 kB
    Add sample_0.wav 7 days ago
  • README.md
    3.25 kB
    Continue-finetune on 10464 hil clips 7 days ago
  • added_tokens.json
    40 Bytes
    Continue-finetune on 10464 hil clips 7 days ago
  • config.json
    2.06 kB
    Training in progress, step 2500 7 days ago
  • eval_texts.txt
    116 Bytes
    Continue-finetune on 10464 hil clips 7 days ago
  • generation_config.json
    247 Bytes
    Training in progress, step 2500 7 days ago
  • model.safetensors
    578 MB
    xet
    Model save 7 days ago
  • processor_config.json
    492 Bytes
    Continue-finetune on 10464 hil clips 7 days ago
  • speaker.npy

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    2.18 kB
    xet
    Continue-finetune on 10464 hil clips 7 days ago
  • spm_char.model
    238 kB
    xet
    Continue-finetune on 10464 hil clips 7 days ago
  • tokenizer_config.json
    1.41 kB
    Continue-finetune on 10464 hil clips 7 days ago
  • train_tts.py
    20.3 kB
    Ship the training script with the checkpoint so any runtime can resume it 7 days ago
  • training_args.bin
    5.46 kB
    xet
    Training in progress, step 2500 7 days ago