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 model.model from vikenkd/vqa-llm: direct link, hf CLI and curl.
- Browser
- Download file 48.9 MB
-
https://huggingface.co/vikenkd/vqa-llm/resolve/refs%2Fpr%2F1/model.model
- Command line
-
hf download hf://vikenkd/vqa-llm@refs/pr/1/model.model
-
curl -L -o model.model https://huggingface.co/vikenkd/vqa-llm/resolve/refs%2Fpr%2F1/model.model
48.9 MB
- Xet hash:
- 30b5a32d7ce252284ae3c9db9a84a4a4e614e7c92cecbc7ddfc20b0c0f7e598a
- Size of remote file:
- 48.9 MB
- SHA256:
- 42a1f379cbe5446fb3dfd6856c4befe1b574dfb5cb6058df732299ddc15501c1
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