Instructions to use kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08: direct link, hf CLI and curl.
- Browser
- Download file 21.5 MB
-
https://huggingface.co/kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08/resolve/cfa44f7ac8efce5b8e5bbd6d978db45a90683736/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08@cfa44f7ac8efce5b8e5bbd6d978db45a90683736/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08/resolve/cfa44f7ac8efce5b8e5bbd6d978db45a90683736/last-checkpoint/optimizer.pt
21.5 MB
- Xet hash:
- 75ee9bdc4efd5524946b8ee082e26c2512ce395809a974febcf562854041ec5f
- Size of remote file:
- 21.5 MB
- SHA256:
- 43fc4e41e79be51e0190860e395b73a443e68870cdb882f8e17d171deecfda7a
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