Instructions to use rahatneuron/lora_model_tts_Orpheus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahatneuron/lora_model_tts_Orpheus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rahatneuron/lora_model_tts_Orpheus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer_config.json from rahatneuron/lora_model_tts_Orpheus: direct link, hf CLI and curl.
- Browser
- Download file 5.41 MB
-
https://huggingface.co/rahatneuron/lora_model_tts_Orpheus/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://rahatneuron/lora_model_tts_Orpheus/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/rahatneuron/lora_model_tts_Orpheus/resolve/main/tokenizer_config.json
5.41 MB
File too large to display, you can check the raw version instead.