Instructions to use Selsabeel/clip-vit-base-patch32-lora-dtd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Selsabeel/clip-vit-base-patch32-lora-dtd with PEFT:
Task type is invalid.
- Transformers
How to use Selsabeel/clip-vit-base-patch32-lora-dtd with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Selsabeel/clip-vit-base-patch32-lora-dtd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4371e5a6f77ad88916bae296a9a8731ab66cebb766029e7cb95c1f5e6f12d0c
- Size of remote file:
- 5.27 kB
- SHA256:
- 2c2c688f00aa29b487c7baf426c87f59b17df4e2868cbb7feefde7551dff6c49
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