Question Answering
Transformers
Safetensors
blip
image-text-to-text
vision-language
image-to-text
fine-tuned
vqa
Instructions to use eagle0504/blip-vqa-finetuned-draft-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eagle0504/blip-vqa-finetuned-draft-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="eagle0504/blip-vqa-finetuned-draft-1")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("eagle0504/blip-vqa-finetuned-draft-1") model = AutoModelForImageTextToText.from_pretrained("eagle0504/blip-vqa-finetuned-draft-1") - Notebooks
- Google Colab
- Kaggle
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