Instructions to use hf-internal-testing/tiny-sd3-text_encoder-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-sd3-text_encoder-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, CLIPTextModelWithProjection tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-sd3-text_encoder-2") model = CLIPTextModelWithProjection.from_pretrained("hf-internal-testing/tiny-sd3-text_encoder-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4f3a55289dee5ea7b45b2e9baa01a82ff4359cc0d09b5f57c181835c1c9a45d
- Size of remote file:
- 287 kB
- SHA256:
- 25fb3560be099ce965a5be53240a0221b5b73d0655c7b01da43a843a3366e094
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