Instructions to use marwanimroz18/blip-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marwanimroz18/blip-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="marwanimroz18/blip-trainer")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("marwanimroz18/blip-trainer") model = AutoModelForVisualQuestionAnswering.from_pretrained("marwanimroz18/blip-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 990b07556d4d54aaccabfcc057d6f22ecac2e5c7ec2b749062af55761383ed91
- Size of remote file:
- 1.54 GB
- SHA256:
- 753700f93421080240ee64c73eb7013560cb2957c57b732b04a794eebd6b6a04
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