Update README.md

README.md

@@ -1,20 +1,19 @@
 ---
 tags:
 - fastai
+- pytorch
+- timm
+license: mit
+metrics:
+- accuracy
+library_name: fastai
+pipeline_tag: image-classification
 ---
+#  Potato disease detection
 
-# Amazing!
+This model is trained for detecting if the wheat plant is healthy or if it has diseases like Yellow Rust or Brown Rust
 
-🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
-
-# Some next steps
-1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
-
-2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
-
-3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
-
-Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
+# Enjoyy
 
 
 ---
@@ -22,11 +21,11 @@ Greetings fellow fastlearner 🤝! Don't forget to delete this content from your
 
 # Model card
 
-## Model description
-More information needed
-
-## Intended uses & limitations
-More information needed
+A ConvNeXT model used for image classfication.
 
-## Training and evaluation data
-More information needed
+## Model Details
+- **Model Type:** Image classification
+- **Papers:**
+  - A ConvNet for the 2020s: https://arxiv.org/abs/2201.03545
+- **Dataset:** New Bangladeshi Crop Disease: https://www.kaggle.com/datasets/nafishamoin/new-bangladeshi-crop-disease
+- **Original:** https://github.com/facebookresearch/ConvNeXt