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Reeya112
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ex04_new_model

Text2Text Generation
Transformers
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Safetensors
parler_tts
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  1. .ipynb_checkpoints/config-checkpoint.json +282 -0
  2. .ipynb_checkpoints/config-checkpoint.py +29 -0
  3. checkpoint-82-epoch-1/optimizer.bin +3 -0
  4. checkpoint-82-epoch-1/pytorch_model.bin +3 -0
  5. checkpoint-82-epoch-1/random_states_0.pkl +3 -0
  6. checkpoint-82-epoch-1/scaler.pt +3 -0
  7. checkpoint-82-epoch-1/scheduler.bin +3 -0
  8. config.json +2 -2
  9. config.py +29 -0
  10. model.safetensors +2 -2
  11. parler-speech/1727760630.0173953/events.out.tfevents.1727760630.0ba94a3a0eff.60856.1 +3 -0
  12. parler-speech/1727760630.0181816/hparams.yml +16 -0
  13. parler-speech/events.out.tfevents.1727760630.0ba94a3a0eff.60856.0 +3 -0
  14. preprocessor_config.json +10 -0
  15. special_tokens_map.json +125 -0
  16. spiece.model +3 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +941 -0
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+ {
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+ "_name_or_path": "parler-tts/parler_tts_mini_v0.1",
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+ "architectures": [
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+ "ParlerTTSForConditionalGeneration"
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.ipynb_checkpoints/config-checkpoint.py ADDED
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+ import enum
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+
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+ from pydantic_settings import BaseSettings
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+
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+ SPEED = 1.0
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+
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+
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+ # NOTE: commented out response formats don't work
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+ class ResponseFormat(enum.StrEnum):
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+ MP3 = "mp3"
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+ # OPUS = "opus"
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+ # AAC = "aac"
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+ FLAC = "flac"
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+ WAV = "wav"
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+ # PCM = "pcm"
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+
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+
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+ class Config(BaseSettings):
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+ log_level: str = "info" # env: LOG_LEVEL
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+ model: str = "parler-tts/parler-tts-mini-expresso" # env: MODEL
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+ max_models: int = 1 # env: MAX_MODELS
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+ lazy_load_model: bool = False # env: LAZY_LOAD_MODEL
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+ voice: str = (
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+ "Thomas speaks moderately slowly in a sad tone with emphasis and high quality audio." # env: VOICE
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+ )
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+ response_format: ResponseFormat = ResponseFormat.MP3 # env: RESPONSE_FORMAT
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+
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+ config = Config()
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config.py ADDED
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+ import enum
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+
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+ from pydantic_settings import BaseSettings
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+
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+ SPEED = 1.0
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+
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+
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+ # NOTE: commented out response formats don't work
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+ class ResponseFormat(enum.StrEnum):
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+ # OPUS = "opus"
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+ # PCM = "pcm"
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+
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+ class Config(BaseSettings):
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+ log_level: str = "info" # env: LOG_LEVEL
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+ model: str = "parler-tts/parler-tts-mini-expresso" # env: MODEL
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+ max_models: int = 1 # env: MAX_MODELS
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+ lazy_load_model: bool = False # env: LAZY_LOAD_MODEL
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+ voice: str = (
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