Instructions to use Isaacks/test_push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isaacks/test_push with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Isaacks/test_push")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Isaacks/test_push") model = SegformerForSemanticSegmentation.from_pretrained("Isaacks/test_push") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +1 -0
config.json
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{"model_name": "segformer_finetuned_ihc", "dataset": "Isaacks/ihc_slide_tissue", "tags": ["image-segmentation", "vision"]}
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