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---
license: mit
datasets:
- tsac
language:
- ar
---
This is a converted version of [Instadeep's](https://huggingface.co/InstaDeepAI) [TunBERT](https://github.com/instadeepai/tunbert/) from nemo to safetensors.
Make sure to read the original model [licence](https://github.com/instadeepai/tunbert/blob/main/LICENSE)
<details>
<summary>architectural changes </summary>
## original model head
## this model head
</details>
## Note
this is a WIP and any contributions are welcome
# how to load the model
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("not-lain/TunBERT")
model = AutoModelForSequenceClassification.from_pretrained("not-lain/TunBERT",trust_remote_code=True)
```
# how to use the model
```python
text = "[insert text here]"
inputs = tokenizer(text,return_tensors='pt')
output = model(**inputs)
```
or you can use the pipeline :
```python
from transformers import pipeline
pipe = pipeline(model="not-lain/TunBERT",tokenizer = "not-lain/TunBERT",trust_remote_code=True)
pipe("text")
```
**IMPORTANT** :
* Make sure to enable `trust_remote_code=True`
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