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xezpeleta
/
pitz-v0-ft

Text-to-Speech
Transformers
Safetensors
Basque
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use xezpeleta/pitz-v0-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xezpeleta/pitz-v0-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="xezpeleta/pitz-v0-ft")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("xezpeleta/pitz-v0-ft")
    model = AutoModelForCausalLM.from_pretrained("xezpeleta/pitz-v0-ft")
  • Notebooks
  • Google Colab
  • Kaggle
pitz-v0-ft
13.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
xezpeleta's picture
xezpeleta
Update README.md
a1d44bd verified 3 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 year ago
  • README.md
    5.21 kB
    Update README.md 3 months ago
  • config.json
    838 Bytes
    Upload LlamaForCausalLM about 1 year ago
  • generation_config.json
    180 Bytes
    Upload LlamaForCausalLM about 1 year ago
  • model-00001-of-00003.safetensors
    4.95 GB
    xet
    Upload LlamaForCausalLM about 1 year ago
  • model-00002-of-00003.safetensors
    4.93 GB
    xet
    Upload LlamaForCausalLM about 1 year ago
  • model-00003-of-00003.safetensors
    3.32 GB
    xet
    Upload LlamaForCausalLM about 1 year ago
  • model.safetensors.index.json
    20.9 kB
    Upload LlamaForCausalLM about 1 year ago
  • special_tokens_map.json
    498 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    22.8 MB
    xet
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    5.41 MB
    Upload tokenizer about 1 year ago