Instructions to use Salesforce/blip-image-captioning-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-image-captioning-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large") model = AutoModelForMultimodalLM.from_pretrained("Salesforce/blip-image-captioning-large") - Notebooks
- Google Colab
- Kaggle
Update README.md
#42
by Bunnnnnn - opened
README.md
CHANGED
|
@@ -5,6 +5,10 @@ tags:
|
|
| 5 |
languages:
|
| 6 |
- en
|
| 7 |
license: bsd-3-clause
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
|
|
|
|
| 5 |
languages:
|
| 6 |
- en
|
| 7 |
license: bsd-3-clause
|
| 8 |
+
datasets:
|
| 9 |
+
- FreedomIntelligence/medical-o1-reasoning-SFT
|
| 10 |
+
base_model:
|
| 11 |
+
- deepseek-ai/DeepSeek-R1
|
| 12 |
---
|
| 13 |
|
| 14 |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
|