Instructions to use TnTerry/MEGL-BLIP-Baseline-Object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TnTerry/MEGL-BLIP-Baseline-Object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TnTerry/MEGL-BLIP-Baseline-Object")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("TnTerry/MEGL-BLIP-Baseline-Object") model = AutoModelForVisualQuestionAnswering.from_pretrained("TnTerry/MEGL-BLIP-Baseline-Object") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 30522, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.41.2" | |
| } | |