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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large") model = AutoModelForImageTextToText.from_pretrained("Salesforce/blip-image-captioning-large") - Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#18) 2227ac3
Update README.md e33defe
Add TF weights (#7) 4bb3d87
Update README.md 44f04d5
Update README.md (#4) 18903c0
Update README.md 0b7cde4
Update README.md 0236af6
Update README.md fa4fd3b
Create README.md eced05e
Upload processor 12d1e73
Upload BlipForConditionalGeneration 1d75d8b
initial commit eb32014
Younes Belkada commited on