Update Readme

README.md

@@ -1,14 +1,14 @@
 ---
-tags: autotrain
+tags: biobert
 language: unk
 widget:
-- text: "I love AutoTrain 🤗"
+- text: "Cell lines expressing proteins 🤗"
 datasets:
 - Mim/autotrain-data-biobert-procell
 co2_eq_emissions: 0.5988414315305852
 ---
 
-# Model Trained Using AutoTrain
+# Model Trained Using biobert
 
 - Problem type: Binary Classification
 - Model ID: 896229149
@@ -28,7 +28,7 @@ co2_eq_emissions: 0.5988414315305852
 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/Mim/autotrain-biobert-procell-896229149
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Cell lines expressing proteins"}' https://api-inference.huggingface.co/models/Mim/autotrain-biobert-procell-896229149
 ```
 
 Or Python API:
@@ -40,7 +40,7 @@ model = AutoModelForSequenceClassification.from_pretrained("Mim/autotrain-biober
 
 tokenizer = AutoTokenizer.from_pretrained("Mim/autotrain-biobert-procell-896229149", use_auth_token=True)
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("Cell lines expressing proteins", return_tensors="pt")
 
 outputs = model(**inputs)
 ```