Update README.md

README.md

@@ -7,56 +7,14 @@ metrics:
 - accuracy
 pipeline_tag: image-classification
 ---
-# Digit-classifier
+# Digit Classifier (Teeny-Tiny Castle)
 
-## Model Overview
+This model is part of a tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research. 
 
-The digit-classifier model is used to recognize manuscript digits from 0 to 9.
-
-### Details
-
-- **Size:**  1,256,080  parameters
-- **Model type:** Convolutional neural network
-- **Optimizer**:  tf.keras.optimizers.Adam(learning_rate=0.001)
-- **Number of Epochs:** 10
-- **Batch size:** 256
-- **Hardware:** Tesla V4
-- **Emissions:** Not measured
-- **Total Energy Consumption:** Not measured
-
-### How to Use
+## How to Use
 
 ```python
 from huggingface_hub import from_pretrained_keras
 
 model = from_pretrained_keras("AiresPucrs/digit-classifier")
-
-classes = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine']
-```
-
-## Intended Use
-
-This model was created for research purposes only. Specifically, it was designed to recognize manuscript digits from 0 to 9. We do not recommend any application of this model outside this scope.
-
-
-## Training Data
-
-The model was trained with the [MNIST digits classification dataset](https://keras.io/api/datasets/mnist/).
-
-
-# Cite as 🤗
-```latex
-@misc{teenytinycastle,
-    doi = {10.5281/zenodo.7112065},
-    url = {https://github.com/Nkluge-correa/teeny-tiny_castle},
-    author = {Nicholas Kluge Corr{\^e}a},
-    title = {Teeny-Tiny Castle},
-    year = {2024},
-    publisher = {GitHub},
-    journal = {GitHub repository},
-}
 ```
-## License
-
-
-This model is licensed under the Apache License, Version 2.0.