Instructions to use Jamvess/Blip2-thaiImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jamvess/Blip2-thaiImage with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jamvess/Blip2-thaiImage", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fb46061e11c1f79ea22654ddb8ae0768e359da6efb1391408c6f58d667f6041
- Size of remote file:
- 21 MB
- SHA256:
- d31c551f27fdb571a6252f0624c717cf88750adabd5a846564892192aa82ed58
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