Added dummy model

README.md

@@ -1,3 +1,7 @@
 ---
 license: mit
 ---
+
+This is a dummy model outputting the count of "a" letters in a provided sentence.
+
+To generate the dummy model, run `python3 train.py`

config.json

@@ -0,0 +1,4 @@
+{
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2"
+}

train.py

@@ -0,0 +1,26 @@
+from transformers import PreTrainedModel, PretrainedConfig
+
+class CountAModel(PreTrainedModel):
+    config_class = PretrainedConfig
+
+    def __init__(self, config):
+        super().__init__(config)
+
+    def forward(self, text):
+        return text.lower().count('a')
+
+    def save_pretrained(self, save_directory):
+        self.config.save_pretrained(save_directory)
+
+config = PretrainedConfig()
+config.torch_dtype = 'float32'  # Add a dummy torch_dtype attribute
+config.model_type = 'CountA'
+model = CountAModel(config)
+
+# Validate
+sentence = "This is a sample sentence with a few 'a's."
+count_a = model(sentence)
+print(f"The sentence contains {count_a} letter(s) 'a'.")
+
+# Save the model in the current directory
+model.save_pretrained(".")