Instructions to use NoOrdinaryJoy/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoOrdinaryJoy/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "NoOrdinaryJoy/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download original/tokenizer.model from NoOrdinaryJoy/outputs: direct link, hf CLI and curl.
- Browser
- Download file 2.18 MB
-
https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/original/tokenizer.model
- Command line
-
hf download hf://NoOrdinaryJoy/outputs/original/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/original/tokenizer.model
2.18 MB
- Xet hash:
- c0fff81447bf4ba4dbf0a427469a7e1f7e48a32b365aeaceea7d4760a619a3d7
- Size of remote file:
- 2.18 MB
- SHA256:
- 82e9d31979e92ab929cd544440f129d9ecd797b69e327f80f17e1c50d5551b55
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