Instructions to use baskra/tiny-random-Blip2Model-opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baskra/tiny-random-Blip2Model-opt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="baskra/tiny-random-Blip2Model-opt")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("baskra/tiny-random-Blip2Model-opt") model = AutoModel.from_pretrained("baskra/tiny-random-Blip2Model-opt") - 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 sha256:090660dd3774ed541ef11e5619ae272c2de0c0777a8a52543b7fb0f26354a9e3
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size 697164
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