Add text classification documentation

README.md

@@ -274,13 +274,23 @@ tasks first but plan to launch classification support soon! In the future, we ho
 | [ALBEF](https://github.com/autodistill/autodistill-albef) | ✅ | ✅ | 🚧 |
 | [FastViT](https://github.com/autodistill/autodistill-fastvit) | ✅ | ✅ | 🚧 |
 | [AltCLIP](https://github.com/autodistill/autodistill-altcip) | ✅ | ✅ | 🚧 |
-| [EvaCLIP](https://github.com/lab176344/autodistill-evaclip) (contributed by a community member) | ✅ | ✅ | 🚧 |
+| [EvaCLIP](https://github.com/lab176344/autodistill-evaclip) | ✅ | ✅ | 🚧 |
 | Fuyu | 🚧 | 🚧 | 🚧 |
 | Open Flamingo | 🚧 | 🚧 | 🚧 |
 | GPT-4 |  |  |  |
 | PaLM-2 |  |  |  |
 
 
+### text classification
+
+| base / target |  |
+|:---:|
+| [GPT-4](https://github.com/autodistill/autodistill-gpt) |  |
+| [Anthropic](https://github.com/autodistill/autodistill-anthropic) |  |
+| [DistilBERT](https://github.com/autodistill/autodistill-distilbert) |  |
+| [SetFit](https://github.com/autodistill/autodistill-setfit) |  |
+
+
 ## Roboflow Model Deployment Support
 
 You can optionally deploy some Target Models trained using Autodistill on Roboflow. Deploying on Roboflow allows you to use a range of concise SDKs for using your model on the edge, from [roboflow.js](https://docs.roboflow.com/inference/web-browser) for web deployment to [NVIDIA Jetson](https://docs.roboflow.com/inference/nvidia-jetson) devices.

docs/index.md

@@ -19,6 +19,8 @@ Autodistill uses big, slower foundation models to train small, faster supervised
 
 You can use Autodistill on your own hardware, or use the [Roboflow hosted version of Autodistill](https://blog.roboflow.com/launch-auto-label/) to label images in the cloud.
 
+With Autodistill, you can label data for and train object detection, segmentation, and classification models. You can also label data for and train text classification models.
+
 <div align="center">
   <p>
     <a align="center" href="" target="_blank">

mkdocs.yml

@@ -43,7 +43,7 @@ nav:
         - YOLOv8: https://github.com/autodistill/autodistill-yolov8
         - YOLOv8 Instance Segmentation: https://github.com/autodistill/autodistill-yolov8
         - YOLO-NAS: https://github.com/autodistill/autodistill-yolonas
-    - Classification:
+    - Image Classification:
       - Base Models:
         - ALBEF: https://github.com/autodistill/autodistill-albef
         - AltCLIP: https://github.com/autodistill/autodistill-altclip
@@ -57,6 +57,13 @@ nav:
         - YOLOv5: https://github.com/autodistill/autodistill-yolov5
         - YOLOv8: https://github.com/autodistill/autodistill-yolov8
         - ViT: https://github.com/autodistill/autodistill-vit
+    - Text Classification:
+      - Base Models:
+        - GPT-4: https://github.com/autodistill/autodistill-gpt-text?tab=readme-ov-file#quickstart-gpt
+        - LLaMAFile: https://github.com/autodistill/autodistill-gpt-text?tab=readme-ov-file#quickstart-llamafile
+      - Target Models:
+        - DistilBERT: https://github.com/autodistill/autodistill-distilbert
+        - SetFit: https://github.com/autodistill/autodistill-setfit
     - Utilities:
       - Visualize Predictions: utilities/visualize-predictions.md
       - Combine Models: utilities/combine-models.md