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
Commit History
-
Upload model-00002-of-00002.safetensors with huggingface_hub
Verified signature74e9240 -
Upload model-00001-of-00002.safetensors with huggingface_hub
Verified signature0396c40 -
Delete model-00001-of-00004.safetensors
Verified signature2b40005 -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster3285bdc -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x fasterf6cc525
-
Upload 2 files
Verified signature8f23f73 -
Create original/READ.ME
Verified signaturefd39866 -
Upload model-00001-of-00004.safetensors
Verified signature133c2ea -
Upload model.safetensors.index.json
Verified signature7786077
-
NoOrdinaryJoy/lora_model
Verified signatured39da9b -
initial commit
Verified signaturec027605