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 training_args.bin from ulas742/lora-small: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/ulas742/lora-small/resolve/main/training_args.bin
- Command line
-
hf download hf://ulas742/lora-small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ulas742/lora-small/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 72359df13b4675032ed501cf3d32385c261a3e524a1f80ac620e349a9dabac43
- Size of remote file:
- 5.71 kB
- SHA256:
- 5c49bec08600c3cc74c119679c0a2c941d2ac15f4307e62e55ac7151419c001d
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