Instructions to use bdsqlsz/image_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdsqlsz/image_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, CLIPVisionModelWithProjection tokenizer = AutoTokenizer.from_pretrained("bdsqlsz/image_encoder") model = CLIPVisionModelWithProjection.from_pretrained("bdsqlsz/image_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36db03e0d9fed0f8f8223d62a0fe04076689b2dae2d73c35a37ec6cae6f15521
- Size of remote file:
- 1.22 GB
- SHA256:
- 89d2aa29b5fdf64f3ad4f45fb4227ea98bc45156bbae673b85be1af7783dbabb
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