Update README.md

README.md

@@ -1,17 +1,14 @@
 ---
-tags: autotrain
 language: ar
-widget:
-- text: "I love AutoTrain 🤗"
+
 datasets:
-- Yah216/autotrain-data-Poem_Rawiy_detection
+- Yah216/Poem_Rawiy_detection
 co2_eq_emissions: 1.8046766441629636
 ---
 
-# Model Trained Using AutoTrain
+# Model
 
 - Problem type: Multi-class Classification
-- Model ID: 918730150
 - CO2 Emissions (in grams): 1.8046766441629636
 
 ## Validation Metrics
@@ -34,7 +31,7 @@ co2_eq_emissions: 1.8046766441629636
 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/Yah216/autotrain-Poem_Rawiy_detection-918730150
+$ 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/Yah216/Poem_Rawiy_detection
 ```
 
 Or Python API:
@@ -42,11 +39,11 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-Poem_Rawiy_detection-918730150", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("Yah216/Poem_Qafiyah_Detection", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-Poem_Rawiy_detection-918730150", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("Yah216/Poem_Qafiyah_Detection", use_auth_token=True)
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("text, return_tensors="pt")
 
 outputs = model(**inputs)
 ```