 How to use  Here is how to use this model in PyTorch:  ```python >>> import torch >>> from transformers import AutoModelForSequenceClassification, AutoTokenizer >>>  >>> model_id = 'rmihaylov/bert-base-nli-theseus-bg' >>> model = AutoModelForSequenceClassification.from_pretrained(model_id) >>> tokenizer = AutoTokenizer.from_pretrained(model_id) >>> >>> inputs = tokenizer.encode_plus( >>>     'Няколко момчета играят футбол.',  >>>     'Няколко момичета играят футбол.',  >>>     return_tensors='pt') >>> >>> outputs = model(**inputs) >>> contradiction, entailment, neutral = torch.softmax(outputs[0][0], dim=0).detach() >>> contradiction, neutral, entailment  (tensor(0.9998), tensor(0.0001), tensor(5.9929e-05)) ``` 