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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, BeitForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("InfernoDeep/CustomBeit") model = BeitForSemanticSegmentation.from_pretrained("InfernoDeep/CustomBeit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from InfernoDeep/CustomBeit: direct link, hf CLI and curl.
- Browser
- Download file 35.2 MB
-
https://huggingface.co/InfernoDeep/CustomBeit/resolve/main/model.safetensors
- Command line
-
hf download hf://InfernoDeep/CustomBeit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/InfernoDeep/CustomBeit/resolve/main/model.safetensors
35.2 MB
- Xet hash:
- c168a4e2ba2d50f615a070f9312ff133222f0b389f8e2be9cff5f4ad393a776f
- Size of remote file:
- 35.2 MB
- SHA256:
- 8d323127faf260edd38a4c67b0218d095c550126b1e2c0333305e97af4cbffca
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