Instructions to use Kohei3/my-fine-tuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kohei3/my-fine-tuned-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Kohei3/my-fine-tuned-model")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Kohei3/my-fine-tuned-model") model = SegformerForSemanticSegmentation.from_pretrained("Kohei3/my-fine-tuned-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da606f571b5275361672403408af9ba0862209d64d804f6a4a862d907e6aecd
- Size of remote file:
- 5.37 kB
- SHA256:
- a84831c175432db7ed032edd3d539ec0e9ef14182751d33c90e907fd8fc73413
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