Instructions to use NewstaR/CNC-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NewstaR/CNC-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bn22/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "NewstaR/CNC-7b-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from NewstaR/CNC-7b-lora: direct link, hf CLI and curl.
- Browser
- Download file 27.3 MB
-
https://huggingface.co/NewstaR/CNC-7b-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://NewstaR/CNC-7b-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/NewstaR/CNC-7b-lora/resolve/main/adapter_model.bin
27.3 MB
- Xet hash:
- f0f126fe200d5a964f800ddca051711339a7f80b7f2a4867e4aac800043bcb3d
- Size of remote file:
- 27.3 MB
- SHA256:
- 31eb3438c8992a0a563a43ab64735c79887c4a2a610f2dbbe5b2f10424e9e9ba
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