Instructions to use filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/resolve/main/training_args.bin
- Command line
-
hf download hf://filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/filipesantoscv11/88d59005-0232-4218-a70f-21a7c1a2bb3b/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 0a24b231c859dcdb07a5dce1e8baa5bfef690b9d4e780bd9d295bce625d6fd28
- Size of remote file:
- 6.78 kB
- SHA256:
- 3bc036accd7ebf2d4a371c1bd4b1e2774fabf5f4a7c34b905ea1c31c25ac1e96
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.