Instructions to use thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f/resolve/main/training_args.bin
- Command line
-
hf download hf://thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thaffggg/44812dec-21a6-4490-b1dc-143aeb28dd7f/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 1f74f9db379b00e580dbfc5c6200f42870d7cadb9bc611915b41eb9e83fd2d34
- Size of remote file:
- 6.78 kB
- SHA256:
- 7d607b1f7eb42b69c1ead89479fb90134d4eacf7b231541fa461807154620254
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.