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
Upload model
Browse files- config.json +1 -1
config.json
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"_commit_hash": "
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"_name_or_path": "baskra/tiny-random-Blip2Model-opt",
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"architectures": [
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"Blip2Model"
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{
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"_commit_hash": "6d712790fd7129bb74fc95f9b57586521cda55a8",
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"_name_or_path": "baskra/tiny-random-Blip2Model-opt",
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"architectures": [
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"Blip2Model"
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