Update README.md

README.md

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 ---
 license: apache-2.0
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+
+## Model description
+
+Cased fine-tuned BERT model for Hungarian, trained on a dataset...
+
+## Intended uses & limitations
+
+The model can be used as any other (cased) BERT model. It has been tested recognizing ..., where:
+* 
+* 
+
+## Training
+
+Fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), trained on ...
+
+## Eval results
+
+| Class | Precision | Recall | F-Score |
+|-----|------------|------------|------|
+| **Accessible / Label_0** | **0.71** | **0.79** | **0.75**|
+| **Original / Label_1** | **0.76** | **0.67** | **0.71**|
+| **accuracy** | | | **0.73**|
+| **macro avg** | **0.74** | **0.73** | **0.73**|
+| **weighted avg** | **0.74** | **0.73** | **0.73**|
+
+## Usage
+
+```py
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("")
+model = AutoModelForSequenceClassification.from_pretrained("")
+```
+
+### BibTeX entry and citation info
+
+If you use the model, please cite the following paper:
+
+Bibtex:
+```bibtex
+@{
+}
+```