readme: ---
  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)
  ```