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ModelZoo
ResNet50_tensorflow
Commits
e6b6fb33
"tests/vscode:/vscode.git/clone" did not exist on "73a9d5856f2d7ae3637c484d83cd697284ad3962"
Commit
e6b6fb33
authored
Jun 02, 2016
by
Luke LaFountaine
Committed by
Martin Wicke
Jun 02, 2016
Browse files
add note for docker on OSX and correct grammar error (#158)
parent
42c48c8f
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e6b6fb33
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@@ -107,6 +107,9 @@ Bazel should complete reporting all tests passed.
You can also compile SyntaxNet in a
[
Docker
](
https://www.docker.com/what-docker
)
container using this
[
Dockerfile
](
Dockerfile
)
.
**Note:**
If you are running Docker on OSX, make sure that you have enough memory allocated
for your Docker VM.
## Getting Started
Once you have successfully built SyntaxNet, you can start parsing text right
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@@ -153,7 +156,7 @@ spec file used in the demo is in
To use corpora instead of stdin/stdout, we have to:
1.
Create or modify a
`input`
field inside the
`TaskSpec`
, with the
1.
Create or modify a
n
`input`
field inside the
`TaskSpec`
, with the
`file_pattern`
specifying the location we want. If the input corpus is in
CONLL format, make sure to put
`record_format: 'conll-sentence'`
.
1.
Change the
`--input`
and/or
`--output`
flag to use the name of the resource
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