Update README.md

README.md

@@ -34,10 +34,10 @@ The preferable usage:
 # pip install transformers
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
-tokenizer = AutoTokenizer.from_pretrained("/mnt/chatbot_models2/chit-chat/experiments/crossencoder_hf/rubert-base-sentence/dialogs_whole")
-model = AutoModelForSequenceClassification.from_pretrained("/mnt/chatbot_models2/chit-chat/experiments/crossencoder_hf/rubert-base-sentence/dialogs_whole")
+tokenizer = AutoTokenizer.from_pretrained("tinkoff-ai/response-quality-classifier-tiny")
+model = AutoModelForSequenceClassification.from_pretrained("tinkoff-ai/response-quality-classifier-tiny")
 # model.cuda()
-inputs = tokenizer('привет[SEP]привет![SEP]как дела?[RESPONSE_TOKEN]норм',
+inputs = tokenizer('привет[SEP]привет![SEP]как дела?[RESPONSE_TOKEN]норм, у тя как?',
                    padding=True, max_length=128, truncation=True, add_special_tokens=False, return_tensors='pt')
 with torch.inference_mode():
     logits = model(**inputs).logits