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 checkpoint-3000/optimizer.pt from ulas742/lora-large: direct link, hf CLI and curl.
- Browser
- Download file 170 MB
-
https://huggingface.co/ulas742/lora-large/resolve/main/checkpoint-3000/optimizer.pt
- Command line
-
hf download hf://ulas742/lora-large/checkpoint-3000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ulas742/lora-large/resolve/main/checkpoint-3000/optimizer.pt
170 MB
- Xet hash:
- 161146e2578f964e1415ff226e7a38c342bcb4936b4f1bd088e691a511ee729a
- Size of remote file:
- 170 MB
- SHA256:
- 5944fa7a9f12b2189553545541bf095fb17c3b400712c82ec3de12f7068c44c6
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