Instructions to use khazarai/Cardiology-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use khazarai/Cardiology-TTS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "khazarai/Cardiology-TTS") - Transformers
How to use khazarai/Cardiology-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="khazarai/Cardiology-TTS")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("khazarai/Cardiology-TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update adapter_config.json
Browse files- adapter_config.json +1 -1
adapter_config.json
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"q_proj",
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"down_proj"
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"task_type":
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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"q_proj",
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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