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:
- cdc696c54eb640761676ee953a025559486ce886413bb1442785d82ed91c798d
- Size of remote file:
- 4.09 kB
- SHA256:
- 11ab01c6e9d5f3a7284e252f3049840e4f8688acf319900d5fff91d9dfe60d21
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