README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - fr
widget:
  - text: Je participe à un accueil de jour
datasets:
  - jeveuxaider/activity-classifier
co2_eq_emissions:
  emissions: 12.734050517307358

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 2096367492
• CO2 Emissions (in grams): 12.7341

Validation Metrics

• Loss: 0.888
• Accuracy: 0.812
• Macro F1: 0.684
• Micro F1: 0.812
• Weighted F1: 0.808
• Macro Precision: 0.708
• Micro Precision: 0.812
• Weighted Precision: 0.813
• Macro Recall: 0.691
• Micro Recall: 0.812
• Weighted Recall: 0.812

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Je participe à un accueil de jour"}' https://api-inference.huggingface.co/models/jeveuxaider/activity-classifier

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("jeveuxaider/activity-classifier", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("jeveuxaider/activity-classifier", use_auth_token=True)
inputs = tokenizer("Je participe à un accueil de jour", return_tensors="pt")
outputs = model(**inputs)