Instructions to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-64k") model = PeftModel.from_pretrained(base_model, "error577/53fda5b9-5939-40dc-9ebf-83573229889a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from error577/53fda5b9-5939-40dc-9ebf-83573229889a: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://error577/53fda5b9-5939-40dc-9ebf-83573229889a/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- cb81f5a1ac6a0ab4059e941b6135ce02aca5a36a3d495355672333cb6b57dc95
- Size of remote file:
- 6.78 kB
- SHA256:
- 009d304259ffade293b0bb6827ef76ea686eaa76c7b71eefedc7bcb1684b9c11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.