Instructions to use peft-internal-testing/tiny-clip-text-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/tiny-clip-text-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, CLIPTextModelWithProjection tokenizer = AutoTokenizer.from_pretrained("peft-internal-testing/tiny-clip-text-2") model = CLIPTextModelWithProjection.from_pretrained("peft-internal-testing/tiny-clip-text-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d030e8e5720e82318bc879ef5bed1680bbb7e2fcdcaef41aae1a1cef02a77d5f
- Size of remote file:
- 305 kB
- SHA256:
- 01db0e96beff982aa96f23ab54d0809e14cfdf571b991bc7244016a621e6f47f
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