Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 565016091
CO2 Emissions (in grams): 70.54639641012226

Validation Metrics

Loss: 0.5170354247093201
Accuracy: 0.8545909432074056
Macro F1: 0.7910662503820883
Micro F1: 0.8545909432074056
Weighted F1: 0.8539837213761081
Macro Precision: 0.8033640381948799
Micro Precision: 0.8545909432074056
Weighted Precision: 0.856160322286008
Macro Recall: 0.7841845637031052
Micro Recall: 0.8545909432074056
Weighted Recall: 0.8545909432074056

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": "I love AutoNLP"}' https://api-inference.huggingface.co/models/medA/autonlp-FR_another_test-565016091

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("medA/autonlp-FR_another_test-565016091", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("medA/autonlp-FR_another_test-565016091", use_auth_token=True)

inputs = tokenizer("I love AutoNLP", return_tensors="pt")

outputs = model(**inputs)