Instructions to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 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, "eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_3.pth from eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/rng_state_3.pth
- Command line
-
hf download hf://eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/last-checkpoint/rng_state_3.pth
-
curl -L -o rng_state_3.pth https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/rng_state_3.pth
15 kB
- Xet hash:
- f04f9b06ba54abfdbd827c0d355ace3b708e117406aef4a18fdfcf7b5efedd59
- Size of remote file:
- 15 kB
- SHA256:
- 70fef069344dbae48971f9a9a25b25944fd06228bda457b387d3c71aa07971e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.