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.ipynb_checkpoints/inference-checkpoint.py

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+from transformers_neuronx.mixtral.model import MixtralForSampling
+import torch
+
+def model_fn(model_dir):
+    # Load the Neuron-compiled model from the directory
+    model = MixtralForSampling.from_pretrained(model_dir)
+    return model
+
+def predict_fn(input_data, model):
+    # Implement prediction logic
+    with torch.no_grad():
+        outputs = model(**input_data)
+    return outputs

inference.py

@@ -0,0 +1,13 @@
+from transformers_neuronx.mixtral.model import MixtralForSampling
+import torch
+
+def model_fn(model_dir):
+    # Load the Neuron-compiled model from the directory
+    model = MixtralForSampling.from_pretrained(model_dir)
+    return model
+
+def predict_fn(input_data, model):
+    # Implement prediction logic
+    with torch.no_grad():
+        outputs = model(**input_data)
+    return outputs