Instructions to use Bainbridge/vilt-b32-mlm-mami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bainbridge/vilt-b32-mlm-mami with Transformers:
# Load model directly from transformers import AutoProcessor, ViltForImageTextClassification processor = AutoProcessor.from_pretrained("Bainbridge/vilt-b32-mlm-mami") model = ViltForImageTextClassification.from_pretrained("Bainbridge/vilt-b32-mlm-mami", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Bainbridge/vilt-b32-mlm-mami: direct link, hf CLI and curl.
- Browser
- Download file 446 MB
-
https://huggingface.co/Bainbridge/vilt-b32-mlm-mami/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Bainbridge/vilt-b32-mlm-mami/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bainbridge/vilt-b32-mlm-mami/resolve/main/pytorch_model.bin
446 MB
- Xet hash:
- f4802c0a41b315694361053a947a978b5529a10d8bd45625c934d63be58c83c1
- Size of remote file:
- 446 MB
- SHA256:
- 5a95fbe7cd2cc8b4b30f234e8f5a9ca6a0958517fc2655398f1f8eba038a32e8
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