Update README.md

README.md

@@ -5,9 +5,9 @@ tags:
 language:
 - fr
 widget:
-- text: "I love AutoTrain 🤗"
+- text: "Je m'occupe d'un accueil de jour"
 datasets:
-- huynhdoo/autotrain-data-jva-activity-classification
+- jeveuxaider/activity-classifier
 co2_eq_emissions:
   emissions: 12.734050517307358
 ---
@@ -38,19 +38,15 @@ co2_eq_emissions:
 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 AutoTrain"}' https://api-inference.huggingface.co/models/huynhdoo/autotrain-jva-activity-classification-2096367492
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Je m'occupe d'un accueil de jour"}' https://api-inference.huggingface.co/models/huynhdoo/autotrain-jva-activity-classification-2096367492
 ```
 
 Or Python API:
 
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-
-model = AutoModelForSequenceClassification.from_pretrained("huynhdoo/autotrain-jva-activity-classification-2096367492", use_auth_token=True)
-
-tokenizer = AutoTokenizer.from_pretrained("huynhdoo/autotrain-jva-activity-classification-2096367492", use_auth_token=True)
-
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
-
+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 m'occupe d'un accueil de jour", return_tensors="pt")
 outputs = model(**inputs)
 ```