Update README.md

README.md

@@ -1,3 +1,35 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+A 135M SmolLm model trained on 10M words for babyLM challenge.
+You can test the model:
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+def load_model(model_name):
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(model_name)
+    return tokenizer, model
+
+def generate_text(prompt, tokenizer, model, max_length=100):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    
+    with torch.no_grad():
+        output = model.generate(**inputs, max_length=max_length, num_return_sequences=1)
+    
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_text
+
+model_name = "universitytehran/SmolLM-135M-10M-word"
+
+tokenizer, model = load_model(model_name)
+
+prompt = "Once upon a time"
+completed_text = generate_text(prompt, tokenizer, model)
+
+print(f"Prompt: {prompt}")
+print(f"Completed text: {completed_text}")
+```