Create README.md

README.md

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+---
+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]]
+```