update model name in the code

README.md

@@ -39,7 +39,7 @@ The model can be loaded with the `zero-shot-classification` pipeline like so:
 ```python
 from transformers import pipeline
 classifier = pipeline("zero-shot-classification",
-                      model="facebook/bart-large-mnli")
+                      model="knowledgator/comprehend_it-base")
 ```
 
 You can then use this pipeline to classify sequences into any of the class names you specify.
@@ -72,8 +72,8 @@ classifier(sequence_to_classify, candidate_labels, multi_label=True)
 ```python
 # pose sequence as a NLI premise and label as a hypothesis
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-nli_model = AutoModelForSequenceClassification.from_pretrained('facebook/bart-large-mnli')
-tokenizer = AutoTokenizer.from_pretrained('facebook/bart-large-mnli')
+nli_model = AutoModelForSequenceClassification.from_pretrained('knowledgator/comprehend_it-base')
+tokenizer = AutoTokenizer.from_pretrained('knowledgator/comprehend_it-base')
 
 premise = sequence
 hypothesis = f'This example is {label}.'