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Added metadata for LLM Dolly model #238

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bb2c4e1
Added metadata for LLM Dolly model
addyGarg Jun 14, 2023
ab40b97
Delete LLM_Dolly_Embedding_metadata.json
vivekjhauipath Jun 16, 2023
d3caf76
Create LLMDolly__1__metadata.json
vivekjhauipath Jun 16, 2023
119f95a
Added Dolly as Public
Jun 21, 2023
e0f18ff
Create DollyPublic__2__metadata.json
vivekjhauipath Jul 13, 2023
01568b7
Update DollyPublic__2__metadata.json
vivekjhauipath Jul 13, 2023
3af1683
Create DollyPublic__3__metadata.json
vivekjhauipath Jul 13, 2023
8594855
Create DollyPublic__4__metadata.json
vivekjhauipath Jul 14, 2023
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27 changes: 27 additions & 0 deletions metadata/DollyPublic__1__metadata.json
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{
"name": "DollyPublic",
"retrainable": true,
"gpu": 0,
"processorType": "CPU",
"description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages",
"inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.",
"outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
"changeLog": "",
"cpu": 1,
"inputType": "JSON",
"displayName": "DollyPublic ",
"memory": 0,
"mlPackageLanguage": "PYTHON38",
"projectId": "[project-id]",
"stagingUri": "[staging-uri]",
"projectName": "UiPath LLM Models",
"projectDescription": "UiPath models designed to understand and generate human-like text based on patterns and examples in the data they were trained on.",
"tenantName": "UiPath",
"minAIFabricVersion": "22.10",
"languageVersion": 0,
"version": 1,
"customVersion": "23.6.1",
"contentUri": "https://<placeholder-url>/publicmodels/AIC/DollyPublic/1/dolly.zip",
"parametersFileJSON": "",
"settings": []
}
27 changes: 27 additions & 0 deletions metadata/DollyPublic__2__metadata.json
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{
"name": "DollyPublic",
"retrainable": true,
"gpu": 0,
"processorType": "CPU",
"description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages",
"inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.",
"outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
"changeLog": "Fixing versions for weaviate client",
"cpu": 1,
"inputType": "JSON",
"displayName": "DollyPublic ",
"memory": 0,
"mlPackageLanguage": "PYTHON38",
"projectId": "[project-id]",
"stagingUri": "[staging-uri]",
"projectName": "UiPath LLM Models",
"projectDescription": "UiPath models designed to understand and generate human-like text based on patterns and examples in the data they were trained on.",
"tenantName": "UiPath",
"minAIFabricVersion": "22.10",
"languageVersion": 0,
"version": 2,
"customVersion": "23.6.2",
"contentUri": "https://<placeholder-url>/publicmodels/AIC/DollyPublic/2/dolly.zip",
"parametersFileJSON": "",
"settings": []
}
27 changes: 27 additions & 0 deletions metadata/DollyPublic__3__metadata.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
{
"name": "DollyPublic",
"retrainable": true,
"gpu": 0,
"processorType": "CPU",
"description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages",
"inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.",
"outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
"changeLog": "Fixing versions for weaviate client",
"cpu": 1,
"inputType": "JSON",
"displayName": "DollyPublic ",
"memory": 0,
"mlPackageLanguage": "PYTHON38",
"projectId": "[project-id]",
"stagingUri": "[staging-uri]",
"projectName": "UiPath LLM Models",
"projectDescription": "UiPath models designed to understand and generate human-like text based on patterns and examples in the data they were trained on.",
"tenantName": "UiPath",
"minAIFabricVersion": "22.10",
"languageVersion": 0,
"version": 3,
"customVersion": "23.6.3",
"contentUri": "https://<placeholder-url>/publicmodels/AIC/DollyPublic/2/dolly.zip",
"parametersFileJSON": "",
"settings": []
}
27 changes: 27 additions & 0 deletions metadata/DollyPublic__4__metadata.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
{
"name": "DollyPublic",
"retrainable": true,
"gpu": 0,
"processorType": "CPU",
"description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages",
"inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.",
"outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
"changeLog": "Fixing versions for weaviate client",
"cpu": 1,
"inputType": "JSON",
"displayName": "DollyPublic ",
"memory": 0,
"mlPackageLanguage": "PYTHON38",
"projectId": "[project-id]",
"stagingUri": "[staging-uri]",
"projectName": "UiPath LLM Models",
"projectDescription": "UiPath models designed to understand and generate human-like text based on patterns and examples in the data they were trained on.",
"tenantName": "UiPath",
"minAIFabricVersion": "22.10",
"languageVersion": 0,
"version": 4,
"customVersion": "23.6.4",
"contentUri": "https://<placeholder-url>/publicmodels/AIC/DollyPublic/4/dolly.zip",
"parametersFileJSON": "",
"settings": []
}
27 changes: 27 additions & 0 deletions metadata/LLMDolly__1__metadata.json
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{
"name": "LLMDolly",
"retrainable": true,
"gpu": 0,
"processorType": "CPU",
"description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages",
"inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.",
"outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
"changeLog": "",
"cpu": 1,
"inputType": "JSON",
"displayName": "LLMDolly ",
"memory": 0,
"mlPackageLanguage": "PYTHON38",
"projectId": "[project-id]",
"stagingUri": "[staging-uri]",
"projectName": "UiPath LLM Models",
"projectDescription": "UiPath models designed to understand and generate human-like text based on patterns and examples in the data they were trained on.",
"tenantName": "UiPath",
"minAIFabricVersion": "22.10",
"languageVersion": 0,
"version": 1,
"customVersion": "23.6.1",
"imagePath": "dolly-embedding-model:latest",
"parametersFileJSON": "",
"settings": []
}