Instructions to use thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/resolve/main/training_args.bin
- Command line
-
hf download hf://thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 925056c793b9d914f51748506a913f049b44661b3ef26e81caf79494d6d565c9
- Size of remote file:
- 6.78 kB
- SHA256:
- 0dc3c4f6f06375d39726ec7c259ead9758aac1bba1f816df11c8e1fb6a8bbe44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.