metadata
license: mit
tags:
- seismology
- phase-detection
- pytorch
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