 Model  The proposed model is published at HuggingFace Hub with the name of ``demoversion/bert-fa-base-uncased-haddad-wikinli``. You can download and use the model from [HuggingFace Website](https://huggingface.co/demoversion/bert-fa-base-uncased-haddad-wikinli) or directly in transformers library like this:      from transformers import pipeline     model = pipeline("zero-shot-classification", model="demoversion/bert-fa-base-uncased-haddad-wikinli")     labels = ["ورزشی", 			    "سیاسی", 			    "علمی", 			    "فرهنگی"] 		template_str = "این یک متن {} است." 		str_sentence = "مرحله مقدماتی جام جهانی حاشیه‌های زیادی داشت." 		model(str_sentence, labels, hypothesis_template=template_str) The result of this code snippet is:      Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.     {'labels': ['فرهنگی', 'علمی', 'سیاسی', 'ورزشی'],      'scores': [0.25921085476875305,        0.25713297724723816,        0.24884170293807983,        0.23481446504592896],        'sequence': 'مرحله مقدماتی جام جهانی حاشیه\u200cهای زیادی داشت.'} Yep, the right label (highest score) without training. 