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-3000/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-3000/optimizer.pt
- Command line
-
hf download hf://ulas742/lora-small/checkpoint-3000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ulas742/lora-small/resolve/main/checkpoint-3000/optimizer.pt
6.87 MB
- Xet hash:
- 7f3259f1310a5d0992750c28b6b56ce8d86c3a20953a468f71dee515e16d571f
- Size of remote file:
- 6.87 MB
- SHA256:
- 4666b405ce34a919a8872c9a1e6562d4de56fd7b1d61104cbb9b5f334621c028
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