Instructions to use EYEDOL/ORPHEOUSYORUBA1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EYEDOL/ORPHEOUSYORUBA1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/orpheus-3b-0.1-pretrained-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "EYEDOL/ORPHEOUSYORUBA1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from EYEDOL/ORPHEOUSYORUBA1: direct link, hf CLI and curl.
- Browser
- Download file 22.8 MB
-
https://huggingface.co/EYEDOL/ORPHEOUSYORUBA1/resolve/main/tokenizer.json
- Command line
-
hf download hf://EYEDOL/ORPHEOUSYORUBA1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EYEDOL/ORPHEOUSYORUBA1/resolve/main/tokenizer.json
22.8 MB
- Xet hash:
- 72c94d26d1755ec8b7a9f9e84a797070cdd0a6c394fe5379aa6a9013a9642f80
- Size of remote file:
- 22.8 MB
- SHA256:
- fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
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