Instructions to use devlocalhost/blip2-opt-2.7b-xray-captions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devlocalhost/blip2-opt-2.7b-xray-captions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="devlocalhost/blip2-opt-2.7b-xray-captions")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("devlocalhost/blip2-opt-2.7b-xray-captions") model = AutoModelForMultimodalLM.from_pretrained("devlocalhost/blip2-opt-2.7b-xray-captions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "eos_token_id": 50118, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.37.2" | |
| } | |