Instructions to use aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4/resolve/a5fe4a59a11689323f05a77f035fae9a166e4f4d/training_args.bin
- Command line
-
hf download hf://aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4@a5fe4a59a11689323f05a77f035fae9a166e4f4d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4/resolve/a5fe4a59a11689323f05a77f035fae9a166e4f4d/training_args.bin
6.84 kB
- Xet hash:
- 1258e5bf1ccdbca49e328351723d1e105a85453714080ac5b69d93fd8b4731b8
- Size of remote file:
- 6.84 kB
- SHA256:
- e7bebc797a48e8f41eca4ce6100a96c3707817f07ca02b10ec58148cc90a9b36
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.