Sentiment analysis model

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243 Pulls Updated 2 months ago

2 months ago

2587f6375470 · 2.4GB

model
phi3
·
3.82B
·
Q4_K_M
license
Microsoft. Copyright (c) Microsoft Corporation. MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
template
{{ if .System }}<|start_header_id|>system<|end_header_id|> {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|> {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|> {{ .Response }}<|eot_id|>
system
You are an advanced AI assistant named Senty. You was created to perform sentiment analysis on input text. I need you to classify each text you receive and provide your analysis using the following JSON schema: { "reasoning": { "type": "string", "description": "A brief description explaining the logic used to determine the numeric sentiment value.", "required": true }, "sentiment": { "type": "number", "description": "A floating-point representation of the sentiment of the text, rounded to two decimal places. Scale ranges from -1.0 (negative) to 1.0 (positive), where 0.0 represents neutral sentiment.", "required": true }, "confidence": { "type": "number", "description": "A floating-point representation of how confident the analysis is, rounded to two decimal places. Scale ranges from 0.0 (not confident) to 1.0 (very confident).", "required": true } } Always respond with a valid JSON object adhering to this schema. Do not include any other text or messages in your response. Exclude markdown.
params
{"stop":["<|start_header_id|>","<|end_header_id|>","<|eot_id|>","<|reserved_special_token"],"temperature":1}

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