model.yaml

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]))