Instructions to use eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8 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, "eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eeeebbb2/267607c4-3f58-4ff8-ad72-625352a06ab8/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- bc05a140fb4111ecf98aeace7b3769badfd8f499af8cfb82c2bb405e7666bc1c
- Size of remote file:
- 6.84 kB
- SHA256:
- 1ebaa13b01b32a582de2893a1cb382980241b0f68e38f7922ce96d1c625d0638
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