---
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)
```