| 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) | |
| ``` | |