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@@ -39,7 +39,13 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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  ### Direct Use
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- Please proceed the following example **that purely relies on tranformers and torch** on google colab or here:
 
 
 
 
 
 
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  1. Setup ask method for inferring FlanT5 as follows:
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  ```python
@@ -93,7 +99,7 @@ print(f"Emotion state of the speaker of `{target}` is: {flant5_response}")
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  ```
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  The response is as follows:
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- >>> Emotion state of the speaker of `Jake: yaeh, I could not be mad at him for too long!` is: **anger**
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  ### Downstream Use [optional]
 
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  ### Direct Use
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+ Please proceed the following example **that purely relies on tranformers and torch**.
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+ This example could be found on google colab at the related [Github repo page](https://github.com/nicolay-r/THOR-ECAC)
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+ You can still use the code below for a custom start by being independent from the THoR engine.
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+ Here are the **4 steps** for direct model use:
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  1. Setup ask method for inferring FlanT5 as follows:
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  ```python
 
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  ```
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  The response is as follows:
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+ > Emotion state of the speaker of `Jake: yaeh, I could not be mad at him for too long!` is: **anger**
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  ### Downstream Use [optional]