Instructions to use ericwang07/blip-gqa-ft-trial2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericwang07/blip-gqa-ft-trial2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ericwang07/blip-gqa-ft-trial2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ericwang07/blip-gqa-ft-trial2") model = AutoModelForMultimodalLM.from_pretrained("ericwang07/blip-gqa-ft-trial2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c2a50439c8042e62e2ea1ff4a2eb9cb5ff3454abc820b5f9eae059af866a01
- Size of remote file:
- 5.56 kB
- SHA256:
- 13026aa6fc79d817633826e8861145d02df600ba47c744dcf98d77e2cab1297b
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