Instructions to use impactIA/chimere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use impactIA/chimere with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-70B-Instruct") model = PeftModel.from_pretrained(base_model, "impactIA/chimere") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from impactIA/chimere: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/impactIA/chimere/resolve/main/training_args.bin
- Command line
-
hf download hf://impactIA/chimere/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/impactIA/chimere/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 92a401674379a44943633f9a3843f95c64bf06d68ad6d9ba201afc0c2c743d69
- Size of remote file:
- 5.11 kB
- SHA256:
- f8efeef0b1e24613137a579e06855cc3d3ae584f1592bb09d9fb3b3418fbc920
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.