---
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)
```