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Remove "pytext/" from paths in demo json config #878

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Remove "pytext/" from paths in demo json config #878

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ Now you can export your model as a caffe2 net:
You can use the exported caffe2 model to predict the class of raw utterances like this:

```
(venv) $ pytext --config-file demo/configs/docnn.json predict <<< '{"raw_text": "create an alarm for 1:30 pm"}'
(venv) $ pytext --config-file demo/configs/docnn.json predict <<< '{"text": "create an alarm for 1:30 pm"}'
```

More examples and tutorials can be found in [Full Documentation](https://pytext.readthedocs.io/en/master/).
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6 changes: 3 additions & 3 deletions demo/configs/docnn.json
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Expand Up @@ -6,9 +6,9 @@
"source": {
"TSVDataSource": {
"field_names": ["label", "slots", "text"],
"train_filename": "pytext/tests/data/train_data_tiny.tsv",
"test_filename": "pytext/tests/data/test_data_tiny.tsv",
"eval_filename": "pytext/tests/data/test_data_tiny.tsv"
"train_filename": "tests/data/train_data_tiny.tsv",
"test_filename": "tests/data/test_data_tiny.tsv",
"eval_filename": "tests/data/test_data_tiny.tsv"
}
}
},
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6 changes: 3 additions & 3 deletions pytext/docs/source/train_your_first_model.rst
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Expand Up @@ -73,9 +73,9 @@ To get our feet wet, let's run one of the demo configurations included with PyTe
"source": {
"TSVDataSource": {
"field_names": ["label", "slots", "text"],
"train_filename": "pytext/tests/data/train_data_tiny.tsv",
"test_filename": "pytext/tests/data/test_data_tiny.tsv",
"eval_filename": "pytext/tests/data/test_data_tiny.tsv"
"train_filename": "tests/data/train_data_tiny.tsv",
"test_filename": "tests/data/test_data_tiny.tsv",
"eval_filename": "tests/data/test_data_tiny.tsv"
}
}
},
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