Instructions to use namyi/paligemma_VQAv2_ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use namyi/paligemma_VQAv2_ko 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, "namyi/paligemma_VQAv2_ko") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from namyi/paligemma_VQAv2_ko: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/namyi/paligemma_VQAv2_ko/resolve/main/training_args.bin
- Command line
-
hf download hf://namyi/paligemma_VQAv2_ko/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/namyi/paligemma_VQAv2_ko/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 8f704692d7bd7987054ce7311225fb0a3673e1c6981b81592c680e7feaa2f982
- Size of remote file:
- 5.24 kB
- SHA256:
- 7952c4254dfe0432a4ec9c8db59e2a330eecceb72ef15f89eb6834c22adabf48
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