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@@ -11,10 +11,10 @@ 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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- `{"sentiment": ["positive"]}`
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- SLIM models are designed to provide a flexible natural language generative model that can be used in multi-step LLM-based automation workflow.
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  Each slim model has a 'quantized tool' version, e.g., [**'slim-sentiment-tool'**](https://huggingface.co/llmware/slim-sentiment-tool).
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@@ -23,16 +23,11 @@ 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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-
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-
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  `prompt = "<human> " + {text} + "\n" + `
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-
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- ` "<{function}> " + {params} + "</{function}>" + `
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-
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- ` "/n<bot>:" `
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-
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  <details>
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  <summary>Transformers Script </summary>
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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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+ `{"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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  Each slim model has a 'quantized tool' version, e.g., [**'slim-sentiment-tool'**](https://huggingface.co/llmware/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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+ `"<{function}> " + {params} + "</{function}>" + `
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+ `"/n<bot>:" `
 
 
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  <details>
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  <summary>Transformers Script </summary>
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