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--- |
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widget: |
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- text: "gelirken bir litre [MASK] aldım." |
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example_title: "ürün" |
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--- |
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# turkish-tiny-bert-uncased |
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This is a Turkish Tiny uncased BERT model, developed to fill the gap for small-sized BERT models for Turkish. Since this model is uncased: it does not make a difference between turkish and Turkish. |
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#### ⚠ Uncased use requires manual lowercase conversion |
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Note that due to a [known issue](https://github.com/huggingface/transformers/issues/6680) with the tokenizer, the `do_lower_case = True` flag should **NOT** be used with the tokenizer. Instead, convert your text to lower case as follows: |
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```python |
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text.replace("I", "ı").lower() |
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``` |
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Be aware that this model may exhibit biased predictions as it was trained primarily on crawled data, which inherently can contain various biases. |
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Other relevant information can be found in the [paper](https://arxiv.org/abs/2307.14134). |
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```python |
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from transformers import AutoTokenizer, BertForMaskedLM |
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from transformers import pipeline |
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model = BertForMaskedLM.from_pretrained(r"turkish-tiny-bert-uncased") |
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# or |
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# model = BertForMaskedLM.from_pretrained(r"turkish-tiny-bert-uncased", from_tf = True) |
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tokenizer = AutoTokenizer.from_pretrained(r"turkish-tiny-bert-uncased") |
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unmasker = pipeline('fill-mask', model=model, tokenizer=tokenizer) |
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unmasker("gelirken bir litre [MASK] aldım.") |
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# [{'score': 0.202457457780838, |
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# 'token': 2417, |
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# 'token_str': 'su', |
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# 'sequence': 'gelirken bir litre su aldım.'}, |
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# {'score': 0.09290537238121033, |
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# 'token': 11818, |
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# 'token_str': 'benzin', |
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# 'sequence': 'gelirken bir litre benzin aldım.'}, |
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# {'score': 0.07785643637180328, |
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# 'token': 2026, |
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# 'token_str': '##den', |
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# 'sequence': 'gelirken bir litreden aldım.'}, |
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# {'score': 0.06889808923006058, |
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# 'token': 2299, |
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# 'token_str': '##yi', |
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# 'sequence': 'gelirken bir litreyi aldım.'}, |
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# {'score': 0.03152570128440857, |
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# 'token': 2647, |
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# 'token_str': '##ye', |
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# 'sequence': 'gelirken bir litreye aldım.'}] |
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``` |
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# Acknowledgments |
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- Research supported with Cloud TPUs from [Google's TensorFlow Research Cloud](https://sites.research.google/trc/about/) (TFRC). Thanks for providing access to the TFRC ❤️ |
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- Thanks to the generous support from the Hugging Face team, it is possible to download models from their S3 storage 🤗 |
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# License |
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MIT |
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