botdevringring/fr-naxai-ai-emotion-classification-081808122023(latest)

The model is trained on the emotion classification task in the French language. It uses 6 labels: anger, fear, joy love, sadness, surprise.

This model is finetuned from distilcamembert-base. A distillation version of the CamemBERT model, a RoBERTa French model version.

Model Details

• Language: fr
• Problem type: Multi-class Classification
• Model Architecture: CamemBERT
• Model Name: fr-naxai-ai-emotion-classification-081808122023
• Creation date:

Classification Report:

Label	Precision	Recall	f1-Score	Support
anger	0.91	0.91	0.91	2824
fear	0.89	0.87	0.88	2824
joy	0.91	0.82	0.87	2824
love	0.88	0.92	0.90	2824
sadness	0.93	0.90	0.91	2823
surprise	0.89	0.98	0.93	2824

How to use this model

---

You can use Python to access this model:

from transformers import pipeline

analyzer = pipeline(
    task='text-classification',
    model='botdevringring/fr-naxai-ai-emotion-classification-081808122023',
    tokenizer='botdevringring/fr-naxai-ai-emotion-classification-081808122023'
)
result = analyzer(
    "je commence à me sentir déprimé"
)

result

[
  {
    'label': 'sadness',
    'score': 0.999739944934845
  }
]

Or you can use cURL:

curl https://api-inference.huggingface.co/models/botdevringring/fr-naxai-ai-emotion-classification-081808122023 \
    -X POST \
    -d '{"inputs": "je commence à me sentir déprimé"}' \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer <Your HF API token>"

Acknowledgements

Model trained by Eduardo Brigham for Naxai powered by The Ring Ring Company