argilla-io · davidberenstein1957 · Mar 21, 2023 · Feb 23, 2023 · Mar 5, 2023 · Mar 7, 2023
diff --git a/...oring-textclassification-setfit-explainability/f1-score-for-zero-shot-model.png b/...oring-textclassification-setfit-explainability/f1-score-for-zero-shot-model.png
diff --git a/.../_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md b/.../_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md
@@ -0,0 +1,9 @@
+```{grid-item-card} 🕵️‍♀️ Compare two Text Classification zero-shot models using Argilla
+:img-top: /_static/tutorials/monitoring-textclassification-setfit-explainability/f1-score-for-zero-shot-model.png
+:link: ../../tutorials/notebooks/monitoring-textclassification-setfit-explainability.html
+
+MLOps Steps: Monitoring \
+NLP Tasks: TextClassification \
+Libraries: Argilla, SetFit \
+Techniques: Zero-shot classification
+```
diff --git a/...rials/monitoring-textclassification-setfit-explainability/zero-shot-dataset.png b/...rials/monitoring-textclassification-setfit-explainability/zero-shot-dataset.png
diff --git a/...orials/monitoring-textclassification-setfit-explainability/zero-shot-setfit.png b/...orials/monitoring-textclassification-setfit-explainability/zero-shot-setfit.png
diff --git a/docs/_source/tutorials/libraries/setfit.md b/docs/_source/tutorials/libraries/setfit.md
@@ -11,4 +11,6 @@ SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sen
 ```
 ```{include} /_static/tutorials/training-textclassification-setfit-sentiment/modal.md
 ```
+```{include} /_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md
+```
 ````
diff --git a/docs/_source/tutorials/notebooks/monitoring-textclassification-setfit-explainability.ipynb b/docs/_source/tutorials/notebooks/monitoring-textclassification-setfit-explainability.ipynb
diff --git a/docs/_source/tutorials/steps/4_monitoring.md b/docs/_source/tutorials/steps/4_monitoring.md
@@ -15,4 +15,6 @@ These tutorials show you how Argilla can help you to monitor your model predicti
 ```
 ```{include} /_static/tutorials/monitoring-textclassification-transformers-explainability/modal.md
 ```
+```{include} /_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md
+```
 ````
diff --git a/docs/_source/tutorials/tasks/text_classification.md b/docs/_source/tutorials/tasks/text_classification.md
@@ -37,4 +37,6 @@
 ```
 ```{include} /_static/tutorials/training-textclassification-modal-activelearning/modal.md
 ```
+```{include} /_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md
+```
 ````
diff --git a/docs/_source/tutorials/techniques/few_shot.md b/docs/_source/tutorials/techniques/few_shot.md
@@ -14,4 +14,6 @@ These tutorials show how to use few and zero-shot classifications with Argilla.
 ```
 ```{include} /_static/tutorials/labelling-textclassification-gpt3-fewshot/modal.md
 ```
-````
+```{include} /_static/tutorials/monitoring-textclassification-setfit-explainability/modal.md
+```
+````