Text - Landuse classification
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How to use NoeFlandre/osm-polygon-sentence-classifier with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="NoeFlandre/osm-polygon-sentence-classifier") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("NoeFlandre/osm-polygon-sentence-classifier", device_map="auto")Public model artifacts and experiment registry for the OSM polygon landuse sentence-classification task. The repository root is documentation-only; model files live inside immutable experiment runs.
studies/landuse-v1/README.mdstudies/landuse-v1/study.jsonstudies/landuse-v1/results.jsonexperiments/<experiment>/run-<run-id>/.studies/landuse-v1/<ablation-id>/run-<run-id>/.final/ directory.checkpoints/step-N/ directories.The run registry explains how the study name, seed, controller run ID, checkpoint step, and final artifact path relate to one another.