update model card

README.md

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-Fine-tune BERT model on Large Book Reviews Arabic Dataset
+----
+language: ar
+datasets:
+ - labr
+tags:
+ - labr
+---
+
+
+# BERT-LABR unbalanced
+Arabic version bert model fine tuned on LABR dataset
+
+## Data
+The model were fine-tuned on ~63000 book reviews in arabic using bert large arabic
+
+
+## Results
+| class    | precision | recall | f1-score | Support |
+|----------|-----------|--------|----------|---------|
+| 0        | 0.8109    | 0.6832 | 0.7416   | 1670    |
+| 1        | 0.9399    | 0.9689 | 0.9542   | 8541    |
+| Accuracy |           |        | 0.9221   | 10211   |
+
+
+
+## How to use
+
+You can use these models by installing `torch` or `tensorflow` and Huggingface library `transformers`. And you can use it directly by initializing it like this:  
+
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_name="mofawzy/bert-labr-unbalanced"
+model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+```