Instructions to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/last-checkpoint/optimizer.pt
160 MB
- Xet hash:
- f279ce11575cb70cb5dff74787f6ec1c242efa3d8603d7e4e83d668cddf8e8ed
- Size of remote file:
- 160 MB
- SHA256:
- dae17b22b8e030917be604ca1b166fba226c2c3b1de9bd51a95362336ba164d1
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