Instructions to use microsoft/git-base-textvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-base-textvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="microsoft/git-base-textvqa")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-base-textvqa") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-base-textvqa") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 101, | |
| "eos_token_id": 102, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |