update-readme

README.md

@@ -56,13 +56,10 @@ For example, you can optimize it with Intel OpenVINO and enjoy a 2x inference sp
 
 ```
 from optimum.intel.openvino import OVModelForSequenceClassification
-from transformers import (AutoModelForSequenceClassification, AutoTokenizer,
-                          pipeline)
+from transformers import AutoTokenizer, pipeline
 
 model_id = "juliensimon/xlm-v-base-language-id"
-ov_model = OVModelForSequenceClassification.from_pretrained(
-    model_id, from_transformers=True
-)
+ov_model = OVModelForSequenceClassification.from_pretrained(model_id)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 p = pipeline("text-classification", model=ov_model, tokenizer=tokenizer)
 p("Hello world")
@@ -114,4 +111,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0
 - Pytorch 1.13.1
 - Datasets 2.8.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2