Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
493fcc2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0896f224ba212dc331a3b56c3b3bf941df40e9d48d825f8b590ce7ac83a6cc92
size 118168
|