Instructions to use gmedrano/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gmedrano/llama381binstruct_summarize_short with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gmedrano/llama381binstruct_summarize_short") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gmedrano/llama381binstruct_summarize_short: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/gmedrano/llama381binstruct_summarize_short/resolve/main/training_args.bin
- Command line
-
hf download hf://gmedrano/llama381binstruct_summarize_short/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gmedrano/llama381binstruct_summarize_short/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 5e8cec72ab65d0bce4f92978a3175d63a0fb380d7483d6dcd0cc3663316c3b12
- Size of remote file:
- 5.5 kB
- SHA256:
- 454f80948736a49d6fb2fa168f3f4ac042d672cc616030e27ae15b918fe65854
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