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Update README.md

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@@ -11,7 +11,7 @@ inference: false
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  slim-sentiment has been fine-tuned for **sentiment analysis** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:
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- &nbsp &nbsp &nbsp &nbsp`{"sentiment": ["positive"]}`
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  SLIM models are designed to provide a flexible natural language generative model that can be used as part of a multi-step, multi-model LLM-based automation workflow.
@@ -24,7 +24,7 @@ Each slim model has a 'quantized tool' version, e.g., [**'slim-sentiment-tool'*
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  `function = "classify"`
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  `params = "sentiment"`
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  `prompt = "<human> " + {text} + "\n" + `
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- `&nbsp &nbsp &nbsp &nbsp "<{function}> " + {params} + "</{function}>" + `
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  `"/n<bot>:" `
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  slim-sentiment has been fine-tuned for **sentiment analysis** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:
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+ &nbsp;&nbsp;&nbsp;&nbsp;`{"sentiment": ["positive"]}`
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  SLIM models are designed to provide a flexible natural language generative model that can be used as part of a multi-step, multi-model LLM-based automation workflow.
 
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  `function = "classify"`
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  `params = "sentiment"`
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  `prompt = "<human> " + {text} + "\n" + `
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+ &nbsp;&nbsp;&nbsp;&nbsp;`"<{function}> " + {params} + "</{function}>" + `
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  `"/n<bot>:" `
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