Instructions to use DJHumanRPT/orpheus-test5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DJHumanRPT/orpheus-test5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DJHumanRPT/orpheus-test5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from DJHumanRPT/orpheus-test5: direct link, hf CLI and curl.
- Browser
- Download file 22.8 MB
-
https://huggingface.co/DJHumanRPT/orpheus-test5/resolve/main/tokenizer.json
- Command line
-
hf download hf://DJHumanRPT/orpheus-test5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DJHumanRPT/orpheus-test5/resolve/main/tokenizer.json
22.8 MB
- Xet hash:
- 72c94d26d1755ec8b7a9f9e84a797070cdd0a6c394fe5379aa6a9013a9642f80
- Size of remote file:
- 22.8 MB
- SHA256:
- fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.