Instructions to use kloodia/lora-8b-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kloodia/lora-8b-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "kloodia/lora-8b-code") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-969/optimizer.pt from kloodia/lora-8b-code: direct link, hf CLI and curl.
- Browser
- Download file 169 MB
-
https://huggingface.co/kloodia/lora-8b-code/resolve/main/checkpoint-969/optimizer.pt
- Command line
-
hf download hf://kloodia/lora-8b-code/checkpoint-969/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kloodia/lora-8b-code/resolve/main/checkpoint-969/optimizer.pt
169 MB
- Xet hash:
- b15cd1259ab81d8d6f401ca36f75c4a722aeb18612f9d734ae37cdd42636dd4f
- Size of remote file:
- 169 MB
- SHA256:
- c10ab1f19f4102bb5f973a94ac69cd07926674fe42779c504404d2fd3e6e7fc6
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