Instructions to use MariaK/vilt_finetuned_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/vilt_finetuned_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MariaK/vilt_finetuned_100")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("MariaK/vilt_finetuned_100") model = AutoModelForVisualQuestionAnswering.from_pretrained("MariaK/vilt_finetuned_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MariaK/vilt_finetuned_100: direct link, hf CLI and curl.
- Browser
- Download file 452 MB
-
https://huggingface.co/MariaK/vilt_finetuned_100/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MariaK/vilt_finetuned_100/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MariaK/vilt_finetuned_100/resolve/main/pytorch_model.bin
452 MB
- Xet hash:
- 4f977e7974c303973f25fe140e0ce044880607006baf7534a94a9a7a74c6fa46
- Size of remote file:
- 452 MB
- SHA256:
- cefe738780a8bb1622b713081be7168207654692642d2ef68692f06829a3aa4b
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