Instructions to use layoric/llama-2-13b-code-alpaca-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use layoric/llama-2-13b-code-alpaca-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "layoric/llama-2-13b-code-alpaca-qlora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from layoric/llama-2-13b-code-alpaca-qlora: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/layoric/llama-2-13b-code-alpaca-qlora/resolve/main/training_args.bin
- Command line
-
hf download hf://layoric/llama-2-13b-code-alpaca-qlora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/layoric/llama-2-13b-code-alpaca-qlora/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- f502ca302045e7ae5c5032c8b56bd8069dbff92393c093b3bd978701f3cf84da
- Size of remote file:
- 4.03 kB
- SHA256:
- 1981f6c4f4612a5ff4b5dcd979a57a6193e0c0d42d2438633ac00f84f94b1b25
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