Image-to-Text
Transformers
PyTorch
Safetensors
English
multilingual
blip-2
vision
image-captioning
visual-question-answering
Instructions to use Gregor/mblip-bloomz-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gregor/mblip-bloomz-7b 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-bloomz-7b")# Load model directly from transformers import AutoProcessor, mBLIP processor = AutoProcessor.from_pretrained("Gregor/mblip-bloomz-7b") model = mBLIP.from_pretrained("Gregor/mblip-bloomz-7b") - Notebooks
- Google Colab
- Kaggle
ValueError: weight is on the meta device, we need a `value` to put in on 0.
5
#3 opened over 1 year ago
by
Dinura