Instructions to use aayushgs/Salesforce-blip-image-captioning-large-custom-handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayushgs/Salesforce-blip-image-captioning-large-custom-handler 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="aayushgs/Salesforce-blip-image-captioning-large-custom-handler")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("aayushgs/Salesforce-blip-image-captioning-large-custom-handler") model = AutoModelForImageTextToText.from_pretrained("aayushgs/Salesforce-blip-image-captioning-large-custom-handler") - Notebooks
- Google Colab
- Kaggle