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cordwainersmith commited on
Commit ·
602dce2
1
Parent(s): 491cdc9
v4
Browse files
app.py
CHANGED
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@@ -49,7 +49,6 @@ MODEL_DETAILS = {
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individuals' personal information. The model can be deployed on-premise with a
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relatively small hardware footprint, making it suitable for organizations with
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limited computing resources or those prioritizing local data processing.
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-
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The model was trained on the <a href="https://huggingface.co/datasets/CordwainerSmith/GolemGuard"
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target="_blank">GolemGuard</a> dataset, a Hebrew language dataset comprising over
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115,000 examples of PII entities and containing both real and synthetically
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individuals' personal information. The model can be deployed on-premise with a
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| 50 |
relatively small hardware footprint, making it suitable for organizations with
|
| 51 |
limited computing resources or those prioritizing local data processing.
|
|
|
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| 52 |
The model was trained on the <a href="https://huggingface.co/datasets/CordwainerSmith/GolemGuard"
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| 53 |
target="_blank">GolemGuard</a> dataset, a Hebrew language dataset comprising over
|
| 54 |
115,000 examples of PII entities and containing both real and synthetically
|