Instructions to use ulas742/lora-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ulas742/lora-small with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "ulas742/lora-small") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1000/optimizer.pt from ulas742/lora-small: direct link, hf CLI and curl.
- Browser
- Download file 6.87 MB
-
https://huggingface.co/ulas742/lora-small/resolve/main/checkpoint-1000/optimizer.pt
- Command line
-
hf download hf://ulas742/lora-small/checkpoint-1000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ulas742/lora-small/resolve/main/checkpoint-1000/optimizer.pt
6.87 MB
- Xet hash:
- e3ac2aa52337bdc6d15dc8216915cfd94e5e27326307c93875eecbbf5b80898a
- Size of remote file:
- 6.87 MB
- SHA256:
- 07c956de8c139ff63109099ee316f651e80569f0daff238416eec116e35f2e72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.