Image-to-Text
Transformers
PyTorch
Safetensors
English
multilingual
blip-2
vision
image-captioning
visual-question-answering
Instructions to use Gregor/mblip-mt0-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gregor/mblip-mt0-xl 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="Gregor/mblip-mt0-xl")# Load model directly from transformers import AutoProcessor, mBLIP processor = AutoProcessor.from_pretrained("Gregor/mblip-mt0-xl") model = mBLIP.from_pretrained("Gregor/mblip-mt0-xl") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!