Instructions to use Saurabh4509/cmodel_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/cmodel_10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Saurabh4509/cmodel_10k") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Saurabh4509/cmodel_10k: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/training_args.bin
- Command line
-
hf download hf://Saurabh4509/cmodel_10k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- d16b49a705616a0dd5ac215b0278634b8df750edf2b4872ff191b0b212e3045c
- Size of remote file:
- 5.43 kB
- SHA256:
- 7fde9cbbc91e27fdc811473d86d64263282550e575e5ece0ec9c5ca0037935ee
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