Instructions to use borakaragul/blip2-opt-2.7b-ffhq-text-descriptor-V2-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use borakaragul/blip2-opt-2.7b-ffhq-text-descriptor-V2-adapters with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("borakaragul/blip2-opt-2.7b-ffhq-text-descriptor-V2-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f5a061a4cf31527a76f12e7423c762838f07989d580e4946c95ea94cb69749
- Size of remote file:
- 21 MB
- SHA256:
- d8f2d62a0b7a35af8b31e4ed9814dc3fe773eba7806c57fdfc3c69c04b51a490
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