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| class | precision | recall | f1-score | Support |
|---|---|---|---|---|
| 0 | 0.9462 | 0.9778 | 0.9617 | 90 |
| 1 | 0.9399 | 0.9689 | 0.9542 | 90 |
| Accuracy | 0.9611 | 180 |
torch or tensorflow and Huggingface library transformers. And you can use it directly by initializing it like this:1from transformers import AutoModelForSequenceClassification, AutoTokenizer
2
3model_name="mofawzy/bert-ajgt"
4model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
5tokenizer = AutoTokenizer.from_pretrained(model_name)
6