Instructions to use kvjv/thirdmodel_twice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/thirdmodel_twice with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "kvjv/thirdmodel_twice") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvjv/thirdmodel_twice: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kvjv/thirdmodel_twice/resolve/main/training_args.bin
- Command line
-
hf download hf://kvjv/thirdmodel_twice/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvjv/thirdmodel_twice/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- d46c75bc399536fe94ebaa39ed18f95d7c3e802d6115ebd8ee7e32a52f9d0e00
- Size of remote file:
- 5.11 kB
- SHA256:
- 9706250299022c69588939ff0ffac72d81514532423784d9eb4e2dba42767248
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