metadata
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 using optimum-intel
via the export space.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForSequenceClassification
model_id = "BahAilime/Sentiment_Analysis_French-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)