Instructions to use smjain/amazon_vlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/amazon_vlm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "smjain/amazon_vlm") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smjain/amazon_vlm: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/smjain/amazon_vlm/resolve/main/training_args.bin
- Command line
-
hf download hf://smjain/amazon_vlm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smjain/amazon_vlm/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 857666534b4223ee099c62fb401d7391ff535dc1bce2a31fe022760f921ba1c8
- Size of remote file:
- 5.56 kB
- SHA256:
- 32a5f1f972f58590aa872779280e63e266abc2de596650b6ae36c0c8029df3ce
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