Instructions to use InfernoDeep/CustomBeit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfernoDeep/CustomBeit with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("InfernoDeep/CustomBeit") model = BeitForSemanticSegmentation.from_pretrained("InfernoDeep/CustomBeit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c168a4e2ba2d50f615a070f9312ff133222f0b389f8e2be9cff5f4ad393a776f
- Size of remote file:
- 35.2 MB
- SHA256:
- 8d323127faf260edd38a4c67b0218d095c550126b1e2c0333305e97af4cbffca
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