Update README.md

README.md

@@ -1,8 +1,9 @@
 ---
-tags: autotrain
+---
 language: ar
 widget:
-- text: "I love AutoTrain 🤗"
+ - text: "قفا نبك من ذِكرى حبيب ومنزلِ  بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
+ - text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
 datasets:
 - Yah216/autotrain-data-Poem_meter_3
 co2_eq_emissions: 404.66986451902227
@@ -11,7 +12,6 @@ co2_eq_emissions: 404.66986451902227
 # Model Trained Using AutoTrain
 
 - Problem type: Multi-class Classification
-- Model ID: 914730015
 - CO2 Emissions (in grams): 404.66986451902227
 
 ## Validation Metrics
@@ -34,7 +34,7 @@ co2_eq_emissions: 404.66986451902227
 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_meter_3-914730015
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "قفا نبك من ذِكرى حبيب ومنزلِ  بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"}' https://api-inference.huggingface.co/models/Yah216/Arabic_poem_meter_3
 ```
 
 Or Python API:
@@ -42,11 +42,11 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("Yah216/Arabic_poem_meter_3", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-Poem_meter_3-914730015", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("Yah216/Arabic_poem_meter_3", use_auth_token=True)
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("قفا نبك من ذِكرى حبيب ومنزلِ  بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ", return_tensors="pt")
 
 outputs = model(**inputs)
 ```