| license: mit | |
| base_model: ac0hik/Sentiment_Analysis_French | |
| tags: | |
| - generated_from_trainer | |
| - openvino | |
| - openvino-export | |
| datasets: | |
| - tweet_sentiment_multilingual | |
| metrics: | |
| - accuracy | |
| pipeline_tag: text-classification | |
| model-index: | |
| - name: camembert_model | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: tweet_sentiment_multilingual | |
| type: tweet_sentiment_multilingual | |
| config: french | |
| split: validation | |
| args: french | |
| metrics: | |
| - type: accuracy | |
| value: 0.7654320987654321 | |
| name: Accuracy | |
| This model was converted to OpenVINO from [`ac0hik/Sentiment_Analysis_French`](https://huggingface.co/ac0hik/Sentiment_Analysis_French) 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 OVModelForSequenceClassification | |
| model_id = "BahAilime/Sentiment_Analysis_French-openvino" | |
| model = OVModelForSequenceClassification.from_pretrained(model_id) | |
| ``` | |