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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b640bd6adcb0d7e0940f365e1974d994c32bc889c64bf3c994540a5cf8e37409
- Size of remote file:
- 287 kB
- SHA256:
- e8c4ad9476b2eaf60e61e5e92fe3c8c264dc702d02907e395eddca0fe5600b6b
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