Instructions to use Salesforce/blip-vqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-vqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Salesforce/blip-vqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base") model = AutoModelForVisualQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: 'visual-question-answering'
|
| 3 |
tags:
|
| 4 |
-
-
|
| 5 |
inference: false
|
| 6 |
languages:
|
| 7 |
- en
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: 'visual-question-answering'
|
| 3 |
tags:
|
| 4 |
+
- visual-question-answering
|
| 5 |
inference: false
|
| 6 |
languages:
|
| 7 |
- en
|