Update README.md

README.md

@@ -8,11 +8,10 @@ datasets:
 co2_eq_emissions: 60.744727079482495
 ---
 
-# Model Trained Using AutoNLP
+# Model Finetuned from BERT-base for
 
 - Problem type: Multi-class Classification
 - Model ID: 25805800
-- CO2 Emissions (in grams): 60.744727079482495
 
 ## Validation Metrics
 
@@ -31,22 +30,14 @@ co2_eq_emissions: 60.744727079482495
 
 ## 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/Crasher222/autonlp-kaggle-test-25805800
-```
-
-Or Python API:
-
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("Crasher222/autonlp-kaggle-test-25805800", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("Crasher222/kaggle-comp-test")
 
-tokenizer = AutoTokenizer.from_pretrained("Crasher222/autonlp-kaggle-test-25805800", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("Crasher222/kaggle-comp-test")
 
-inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+inputs = tokenizer("I am in love with you", return_tensors="pt")
 
 outputs = model(**inputs)
 ```