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chatty_mapper

Text Generation
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Safetensors
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mistral
snomed-ct
conversational
text-generation-inference
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MattStammers commited on
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Update README.md

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@@ -21,18 +21,19 @@ model = AutoModelForCausalLM.from_pretrained(model_name)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  ```
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- Model Performance
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- Accuracy: 0
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- Precision: 0
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- Recall: 0
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- Example Output:
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- |ParameterName |SNOMEDCode |ExtractedSNOMEDNumbers |CorrectPrediction|
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- |*Heart rate |364075005 |3222222 |False|
 
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- Limitations and bias
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  It is really low grade but I had fun building it so have pushed it up
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- Acknowledgments
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  Thanks to the Mixtral AI team for creating the base model for this one.
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  ```
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+ Model Performance on small 28 parameter test-set
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+ - Accuracy: 0
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+ - Precision: 0
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+ - Recall: 0
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+ ### Example Output:
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+ | ParameterName | SNOMEDCode | ExtractedSNOMEDNumbers | CorrectPrediction |
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+ |---------------|------------|------------------------|-------------------|
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+ | Heart rate | 364075005 | 3222222 | False |
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+ ### Limitations and bias
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  It is really low grade but I had fun building it so have pushed it up
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+ ### Acknowledgments
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  Thanks to the Mixtral AI team for creating the base model for this one.