readme: ---
  inference: false
  language:
  - bg
  license: mit
  datasets:
  - oscar
  - chitanka
  - wikipedia
  tags:
  - torch
  ---
  
  # ROBERTA BASE (cased) trained on private Bulgarian sentiment-analysis dataset
  This is a Multilingual Roberta model. 
  
  This model is cased: it does make a difference between bulgarian and Bulgarian.
  
  ### How to use
  
  Here is how to use this model in PyTorch:
  
  ```python
  >>> import torch
  >>> from transformers import AutoModel, AutoTokenizer
  >>> 
  >>> model_id = "rmihaylov/roberta-base-sentiment-bg"
  >>> model = AutoModel.from_pretrained(model_id, trust_remote_code=True)
  >>> tokenizer = AutoTokenizer.from_pretrained(model_id)
  >>>
  >>> inputs = tokenizer.batch_encode_plus(['Това е умно.', 'Това е тъпо.'], return_tensors='pt')
  >>> outputs = model(**inputs)
  >>> torch.softmax(outputs, dim=1).tolist()
  
  [[0.0004746630438603461, 0.9995253086090088],
   [0.9986956715583801, 0.0013043134240433574]]
  ```
  