granite-timeseries-tspulse-r1

96.6K
31
license:apache-2.0
by
ibm-granite
Other
OTHER
Fair
97K downloads
Community-tested
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Quick Summary

TSPulse models are ultra-compact pre-trained models for time-series data, featuring just 1M parameters and supporting GPU-free inference.

Code Examples

Examplepython
from tsfm_public.models.tspulse import TSPulseForReconstruction

# ✅ For Imputation and Semantic Search
model = TSPulseForReconstruction.from_pretrained(
    "ibm-granite/granite-timeseries-tspulse-r1",
    revision="tspulse-hybrid-dualhead-512-p8-r1"
)

# ✅ For Anomaly Detection
model = TSPulseForReconstruction.from_pretrained(
    "ibm-granite/granite-timeseries-tspulse-r1",
    revision="main"
)

# ✅ For Classification
from tsfm_public.models.tspulse import TSPulseForClassification

model = TSPulseForClassification.from_pretrained(
    "ibm-granite/granite-timeseries-tspulse-r1",
    revision="tspulse-block-dualhead-512-p16-r1"
)

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