Instructions to use Raghavan/beit3_base_patch16_480_vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/beit3_base_patch16_480_vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Raghavan/beit3_base_patch16_480_vqa")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Raghavan/beit3_base_patch16_480_vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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