Instructions to use MRiabov/WireSegHR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MRiabov/WireSegHR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="MRiabov/WireSegHR")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MRiabov/WireSegHR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 678 Bytes
f2f9fec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | #!/usr/bin/env bash
set -euo pipefail
# Download TTPLA zip and extract
# Usage:
# scripts/pull_ttpla.sh [FILE_ID_OR_URL] [ZIP_NAME] [OUT_DIR]
# Defaults replicate the manual commands you ran.
FILE_ID_OR_URL="${1:-1Yz59yXCiPKS0_X4K3x9mW22NLnxjvrr0}"
ZIP_NAME="${2:-data_original_size_v1.zip}"
OUT_DIR="${3:-dataset/ttpla_dataset}"
# Work inside dataset/ like you did manually
mkdir -p dataset
cd dataset
echo "Downloading TTPLA: ${FILE_ID_OR_URL} -> ${ZIP_NAME}"
gdown "${FILE_ID_OR_URL}" -O "${ZIP_NAME}" --fuzzy
echo "Unzipping ${ZIP_NAME} -> ${OUT_DIR}"
mkdir -p "${OUT_DIR}"
unzip -q -o "${ZIP_NAME}" -d "${OUT_DIR}"
echo "Done. Contents extracted under: ${OUT_DIR}"
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