Instructions to use prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/prxy5608/8c5883da-03dd-40f7-b0ec-a0ad53e4b9b5/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- accb46cf9630d2d5d2210891444e1266c35c6b2a774e139535cbdd6b9a489244
- Size of remote file:
- 1.06 kB
- SHA256:
- dc78163c347c258a17d5fa38a4e22e79b63c35d2cfce0e026e30c38b9ae55f80
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