Update README.md

README.md

@@ -1,3 +1,31 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+This is model is compiled explictly for AWS Neuronx(inferentia 2 / trainium 1) with following codes:
+
+```python
+from datasets import load_dataset
+from transformers import AutoProcessor
+
+from optimum.neuron import NeuronModelForCTC, pipeline
+
+
+dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", split="validation")
+dataset = dataset.sort("id")
+sampling_rate = dataset.features["audio"].sampling_rate
+
+# model_id = "hf-internal-testing/tiny-random-Wav2Vec2Model"
+model_id = "facebook/wav2vec2-large-960h-lv60-self"
+processor = AutoProcessor.from_pretrained(model_id)
+input_shapes = {"batch_size": 1, "audio_sequence_length": 100000}
+compiler_args = {"auto_cast": "matmul", "auto_cast_type": "bf16"}
+model = NeuronModelForCTC.from_pretrained(
+    model_id,
+    export=True,
+    disable_neuron_cache=True,
+    **input_shapes,
+    **compiler_args,
+)
+model.save_pretrained("wav2vec2_neuron")
+```