Instructions to use sauradip/intern_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sauradip/intern_model with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileNetV2ForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("sauradip/intern_model") model = MobileNetV2ForSemanticSegmentation.from_pretrained("sauradip/intern_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eac853b78b204f282eb9c9c80c0591b9c48ac3d303e8d7e3744c96d87f204608
- Size of remote file:
- 10.4 MB
- SHA256:
- 7f84fc670746a511013fc4c06ee90daca1955d4cefa98a6275499a901ada4711
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