Instructions to use ericwang07/blip-gqa-ft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericwang07/blip-gqa-ft2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ericwang07/blip-gqa-ft2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ericwang07/blip-gqa-ft2") model = AutoModelForMultimodalLM.from_pretrained("ericwang07/blip-gqa-ft2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a66cd105daa69ae6dc84d3a14338561134e9f1ad7ee8a42c14b3c8943bf5dd6b
- Size of remote file:
- 5.5 kB
- SHA256:
- 05958dc6b6afefa9278f44aab7e4884b739eebf3b5a7b38119c2e0f402543b06
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