Create model.yaml

model.yaml

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+After pushing, this README will be displayed as your model card on the Hugging Face Hub.
+
+---
+
+### **Step 3: Use the Model**
+Once the model is pushed to Hugging Face, you can load and use it in any Python environment:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model from Hugging Face Hub
+model_name = "modeltrainer1/Saba-Ethiopia"
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Generate text
+inputs = tokenizer("Hello, how are you?", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))