Instructions to use dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697/resolve/14ff46f3eb5c2472ecb2cfad422cdd18d641cf39/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697@14ff46f3eb5c2472ecb2cfad422cdd18d641cf39/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dimasik1987/50638f60-4fa8-4a8d-a168-0aecffb42697/resolve/14ff46f3eb5c2472ecb2cfad422cdd18d641cf39/last-checkpoint/optimizer.pt
336 MB
- Xet hash:
- cc2a92b4a76f0a24e87e7d5338c9e45f2924034c58cc9df58a0bc4075d6cef79
- Size of remote file:
- 336 MB
- SHA256:
- b7b6cf99046ee2673d6853b6f83383e52497b112e6d0a620a7c69272efd180c0
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