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 training_args.bin from NewstaR/CNC-7b-lora: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/NewstaR/CNC-7b-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://NewstaR/CNC-7b-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NewstaR/CNC-7b-lora/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 3c9430b142a5064cab9f8ff972d112782f2d5e0bfb615f63e9c77d28f699b83d
- Size of remote file:
- 4.54 kB
- SHA256:
- f4b1e75e06bf7150f8db463c4cfe31fa9e96b96696c50568dbbdbe4695d9e6eb
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