Push model using huggingface_hub.

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: BAAI/bge-small-en-v1.5
+base_model: patrickfleith/my-awesome-astro-text-classifier
 library_name: setfit
 metrics:
 - accuracy
@@ -13,9 +13,9 @@ widget: []
 inference: true
 ---
 
-# SetFit with BAAI/bge-small-en-v1.5
+# SetFit with patrickfleith/my-awesome-astro-text-classifier
 
-This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
+This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [patrickfleith/my-awesome-astro-text-classifier](https://huggingface.co/patrickfleith/my-awesome-astro-text-classifier) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
 
 The model has been trained using an efficient few-shot learning technique that involves:
 
@@ -26,7 +26,7 @@ The model has been trained using an efficient few-shot learning technique that i
 
 ### Model Description
 - **Model Type:** SetFit
-- **Sentence Transformer body:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
+- **Sentence Transformer body:** [patrickfleith/my-awesome-astro-text-classifier](https://huggingface.co/patrickfleith/my-awesome-astro-text-classifier)
 - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
 - **Maximum Sequence Length:** 512 tokens
 - **Number of Classes:** 3 classes