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from simplet5 import SimpleT5
model = SimpleT5()
model.load_model("t5","snrspeaks/t5-one-line-summary")
abstract = """We describe a system called Overton, whose main design goal is to
support engineers in building, monitoring, and improving production machine learning systems.
Key challenges engineers face are monitoring fine-grained quality, diagnosing errors in
sophisticated applications, and handling contradictory or incomplete supervision data.
Overton automates the life cycle of model construction, deployment, and monitoring by providing a
set of novel high-level, declarative abstractions. Overton's vision is to shift developers to
these higher-level tasks instead of lower-level machine learning tasks. In fact, using Overton,
engineers can build deep-learning-based applications without writing any code
in frameworks like TensorFlow. For over a year, Overton has been used in production to support multiple
applications in both near-real-time applications and back-of-house processing.
In that time, Overton-based applications have answered billions of queries in multiple
languages and processed trillions of records reducing errors 1.7-2.9 times versus production systems.
"""
model.predict(abstract)
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