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README.md

@@ -10,7 +10,7 @@ tags:
 
 # Temporal Smoke Model (bbox-tube-temporal)
 
-> **Latest release:** [`v0.5.0`](https://huggingface.co/pyronear/temporal-model/tree/v0.5.0) — pin this revision for reproducibility, or omit `revision=` to always get the latest. All releases: the **Files and versions** tab.
+> **Latest release:** [`v0.6.0`](https://huggingface.co/pyronear/temporal-model/tree/v0.6.0) — pin this revision for reproducibility, or omit `revision=` to always get the latest. All releases: the **Files and versions** tab.
 
 A temporal wildfire-**smoke** classifier for short sequences of camera frames. A
 YOLO detector proposes boxes, boxes are linked across frames into temporal
@@ -52,7 +52,7 @@ from huggingface_hub import hf_hub_download
 from temporal_model.core import Detection, FrameDetections
 from temporal_model.core.onnx_model import OnnxTemporalModel
 
-onnx_zip = hf_hub_download("pyronear/temporal-model", "model_onnx.zip", revision="v0.5.0")
+onnx_zip = hf_hub_download("pyronear/temporal-model", "model_onnx.zip", revision="v0.6.0")
 model = OnnxTemporalModel.from_package(Path(onnx_zip))
 
 frames = model.load_sequence(sorted(Path("my_sequence").glob("*.jpg")))
@@ -88,7 +88,7 @@ from huggingface_hub import hf_hub_download
 from temporal_model.core.model import BboxTubeTemporalModel
 
 # 1. Download a specific release (pin the revision).
-model_zip = hf_hub_download("pyronear/temporal-model", "model.zip", revision="v0.5.0")
+model_zip = hf_hub_download("pyronear/temporal-model", "model.zip", revision="v0.6.0")
 
 # 2. Temporally-ordered frames. Filenames carry timestamps
 #    (<prefix>_<YYYY-MM-DDTHH-MM-SS>.jpg); the order is the time order.