Image-to-Text
Transformers
PyTorch
Safetensors
English
blip-2
visual-question-answering
vision
image-captioning
8-bit precision
Instructions to use Mediocreatmybest/blip2-opt-2.7b_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mediocreatmybest/blip2-opt-2.7b_8bit 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="Mediocreatmybest/blip2-opt-2.7b_8bit")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mediocreatmybest/blip2-opt-2.7b_8bit") model = AutoModelForMultimodalLM.from_pretrained("Mediocreatmybest/blip2-opt-2.7b_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b78d3e8be1f57f93bba64afe5541071cd186d3d232ccbac5eab9521748305bc
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size 3887431352
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