Instructions to use vikenkd/vqa-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikenkd/vqa-llm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vikenkd/vqa-llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vikenkd/vqa-llm: direct link, hf CLI and curl.
- Browser
- Download file 48.9 MB
-
https://huggingface.co/vikenkd/vqa-llm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vikenkd/vqa-llm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vikenkd/vqa-llm/resolve/main/pytorch_model.bin
48.9 MB
- Xet hash:
- 2f8415da2d394717b4c84d5ad646bb31b34e27518e65eea181d57663327768d6
- Size of remote file:
- 48.9 MB
- SHA256:
- b762270af609ced0f336655a463dfaebd1ee5bbae3117a5681fb884e06b38b10
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