Instructions to use hf-internal-testing/tiny-random-BitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BitBackbone") model = BitBackbone.from_pretrained("hf-internal-testing/tiny-random-BitBackbone") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e150601f330196d66f46d5a74b2b8fb57425f8620a691b3e3ba04be73c37f9c
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size 89600
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