Instructions to use dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/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, "dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095: direct link, hf CLI and curl.
- Browser
- Download file 47.9 kB
-
https://huggingface.co/dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dzanbek/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/optimizer.pt
47.9 kB
- Xet hash:
- 3664137424fd0425de7971b503d478b44219bd408380a28a99a48415c1a0269c
- Size of remote file:
- 47.9 kB
- SHA256:
- 8430047d8b90d42bd78b0782f3678dbe6ea191029aa9ec20961ed733e662fe9d
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