Create README.md

README.md

@@ -1,3 +1,29 @@
----
-license: mit
----
+---
+license: mit
+base_model:
+- Cran-May/CohenQu-DeepSeek-R1-Distill-Qwen-1.5B-GRPO-duplicate-fixed-6140715
+- agentica-org/DeepScaleR-1.5B-Preview
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+---
+
+## Example Test
+```python
+import onnxruntime as ort
+import numpy as np
+from transformers import AutoTokenizer
+
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained("CohenQu/DeepSeek-R1-Distill-Qwen-7B-GRPO")
+
+# Load the ONNX model
+onnx_model_path = "model.onnx"  # Path to your ONNX model
+session = ort.InferenceSession(onnx_model_path)
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+inputs = tokenizer(question, return_tensors="np", padding=True)
+output = session.run(
+    None,  # Output names can be None to get all outputs
+    {'input_ids': inputs['input_ids'],'attention_mask': inputs['attention_mask']}
+)[0]
+generated_text = tokenizer.decode(np.argmax(output, axis=-1)[0], skip_special_tokens=True)
+print("Generated Text:", generated_text)
+```