Instructions to use ulas742/lora-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ulas742/lora-large 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-large") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ulas742/lora-large: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/ulas742/lora-large/resolve/main/training_args.bin
- Command line
-
hf download hf://ulas742/lora-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ulas742/lora-large/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 98fc88d962382fc68c7427bf7ccba38a8ebe6e9ec92a2cd9a97481068b23dc4a
- Size of remote file:
- 5.71 kB
- SHA256:
- 56ed7206c158021c68f514739476986716e3402d4345aa78d75e29b94391e9cb
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