Instructions to use hfl/vle-large-for-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/vle-large-for-vqa with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hfl/vle-large-for-vqa", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0648d7cd7c9bef63cfb7ae9dcb8faf5120b8cbfb5f77843140865a415ddc5b92
- Size of remote file:
- 3.77 GB
- SHA256:
- 3755073ce76eefee782c1a0e5c747ed678b45a849b01fd86888c4e505e6d6a5f
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