Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aditya2162/ivus-segmentation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation") - Notebooks
- Google Colab
- Kaggle
| set -euo pipefail | |
| INPUT="docs/multitask_finetuning_comprehensive_memo.md" | |
| OUTPUT="docs/multitask_finetuning_comprehensive_memo.pdf" | |
| pandoc "$INPUT" \ | |
| -o "$OUTPUT" \ | |
| --from gfm \ | |
| --resource-path=.:docs \ | |
| --include-in-header=docs/pandoc_pdf_header.tex | |
| echo "Wrote $OUTPUT" | |