chore: remove unnecessary headers

Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>
This commit is contained in:
Aaron
2023-08-15 18:15:09 -04:00
parent 3334524e0d
commit 6b0ab17018
8 changed files with 6 additions and 86 deletions

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@@ -1,18 +1,4 @@
# syntax=docker/dockerfile-upstream:master
# Copyright 2023 BentoML Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile
FROM debian:bullseye-slim as pytorch-install

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@@ -13,7 +13,7 @@ T_co = t.TypeVar("T_co", covariant=True)
if t.TYPE_CHECKING:
import transformers
from openllm._typing_compat import DictStrAny, LiteralRuntime
transformers = openllm.utils.LazyLoader("transformers", globals(), "transformers") # noqa: F811
else: transformers = openllm.utils.LazyLoader("transformers", globals(), "transformers")
class AnnotatedClient(t.Protocol[T_co]):
server_url: str

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@@ -1,17 +1,3 @@
# Copyright 2023 BentoML Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
features:
description: |
## General introduction to OpenLLM.