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pawlib-pretrained
suroRitch/pawlib-pretrained
pawlib-pretrained is a machine learning model from suroRitch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pretrained PAW (Picker for Arrival of Waves) model for seismic phase detection.
Access
Public
Updated Nov 11, 2025
Repo size
1.7 MB
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Repo makeup
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.pt1.7 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Nov 11, 2025
- Updated
- Nov 11, 2025
- SHA
- b609bb74
Model card
From the Hugging Face model README
PAW Pretrained Model
Pretrained PAW (Picker for Arrival of Waves) model for seismic phase detection.
Model Details
- Architecture: CNN + LSTM + Transformer hybrid
- Sampling Rate: 40 Hz (0.025s per sample)
- Input: 5-second waveforms with 0.5s padding on each side
- Output: Binary masks indicating phase arrival windows
Usage
from pawlib import PAW
# Load pretrained model from Hugging Face
model = PAW.from_pretrained('hf://suroRitch/pawlib-pretrained/paw_corrected.pt')
# Make predictions
predictions = model.predict(waveforms)
License
MIT
- License
- mit
- Created
- Nov 11, 2025
- Updated
- Nov 11, 2025