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README.md

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+---
+base_model: somosnlp-hackathon-2022/wav2vec2-base-finetuned-sentiment-classification-MESD
+license: apache-2.0
+metrics:
+- accuracy
+tags:
+- generated_from_trainer
+- openvino
+- openvino-export
+model-index:
+- name: wav2vec2-base-finetuned-sentiment-mesd
+  results: []
+---
+
+This model was converted to OpenVINO from [`somosnlp-hackathon-2022/wav2vec2-base-finetuned-sentiment-classification-MESD`](https://huggingface.co/somosnlp-hackathon-2022/wav2vec2-base-finetuned-sentiment-classification-MESD) using [optimum-intel](https://github.com/huggingface/optimum-intel)
+via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space.
+
+First make sure you have optimum-intel installed:
+
+```bash
+pip install optimum[openvino]
+```
+
+To load your model you can do as follows:
+
+```python
+from optimum.intel import OVModelForAudioClassification
+
+model_id = "BFM007/wav2vec2-base-finetuned-sentiment-classification-MESD-openvino"
+model = OVModelForAudioClassification.from_pretrained(model_id)
+```