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@@ -10,17 +10,19 @@ This is a Turkish Tiny uncased BERT model, developed to fill the gap for small-s
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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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-
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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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  #### ⚠ Uncased use requires manual lowercase conversion
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+
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+ **Don't** use the `do_lower_case = True` flag 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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+ This is due to a [known issue](https://github.com/huggingface/transformers/issues/6680) with the tokenizer.
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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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+ ## Example Usage
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  ```python
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  from transformers import AutoTokenizer, BertForMaskedLM
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  from transformers import pipeline