README.md

---
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)
```