mirror of
https://github.com/bentoml/OpenLLM.git
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58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
# Copyright 2023 BentoML Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import typing as t
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from ..utils import DummyMetaclass, require_backends
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class FlanT5(metaclass=DummyMetaclass):
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_backends = ["torch"]
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def __init__(self, *args: t.Any, **attrs: t.Any):
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require_backends(self, ["torch"])
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class DollyV2(metaclass=DummyMetaclass):
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_backends = ["torch"]
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def __init__(self, *args: t.Any, **attrs: t.Any):
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require_backends(self, ["torch"])
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class StarCoder(metaclass=DummyMetaclass):
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_backends = ["torch"]
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def __init__(self, *args: t.Any, **attrs: t.Any):
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require_backends(self, ["torch"])
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class StableLM(metaclass=DummyMetaclass):
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_backends = ["torch"]
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def __init__(self, *args: t.Any, **attrs: t.Any):
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require_backends(self, ["torch"])
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class AutoLLM(metaclass=DummyMetaclass):
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_backends = ["torch"]
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def __init__(self, *args: t.Any, **attrs: t.Any):
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require_backends(self, ["torch"])
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MODEL_MAPPING = None
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