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
File size: 302 Bytes
1d197a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | #!/usr/bin/env bash
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"
|