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Readme update

Browse files
.ipynb_checkpoints/README-checkpoint.md CHANGED
@@ -9,3 +9,19 @@ This model extends upon the PubMedBert pre-trained model from [this repository ]
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  The model was first used in [this paper](https://www.medrxiv.org/content/10.1101/2022.09.22.22280158v1) and the associated Github and code can be found [here](https://github.com/NetherlandsNeurogeneticsDatabase/Clinical_History)
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The model was first used in [this paper](https://www.medrxiv.org/content/10.1101/2022.09.22.22280158v1) and the associated Github and code can be found [here](https://github.com/NetherlandsNeurogeneticsDatabase/Clinical_History)
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  ---
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+
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+ # How to use this model?
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+
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+ The model was trained using the [Simpletransformers](https://simpletransformers.ai/) library and can be loaded using this package aswell.
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+
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+ ```
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+ model = ClassificationModel(
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+ "bert", "path/to/model"
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+ )
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+ ```
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+
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+ This model can also be loaded using the transformer library in Python.
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+
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+ ---
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+
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+ Please site our publication when using this model.
README.md CHANGED
@@ -9,3 +9,19 @@ This model extends upon the PubMedBert pre-trained model from [this repository ]
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  The model was first used in [this paper](https://www.medrxiv.org/content/10.1101/2022.09.22.22280158v1) and the associated Github and code can be found [here](https://github.com/NetherlandsNeurogeneticsDatabase/Clinical_History)
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The model was first used in [this paper](https://www.medrxiv.org/content/10.1101/2022.09.22.22280158v1) and the associated Github and code can be found [here](https://github.com/NetherlandsNeurogeneticsDatabase/Clinical_History)
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  ---
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+
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+ # How to use this model?
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+
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+ The model was trained using the [Simpletransformers](https://simpletransformers.ai/) library and can be loaded using this package aswell.
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+
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+ ```
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+ model = ClassificationModel(
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+ "bert", "path/to/model"
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+ )
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+ ```
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+
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+ This model can also be loaded using the transformer library in Python.
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+
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+ ---
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+
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+ Please site our publication when using this model.