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atasoglu
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README.md
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- feature-extraction
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- sentence-similarity
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- transformers
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---
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# atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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## Usage (Sentence-Transformers)
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- feature-extraction
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- sentence-similarity
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- transformers
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license: mit
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datasets:
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- nli_tr
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- emrecan/stsb-mt-turkish
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language:
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- tr
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base_model: burakaytan/roberta-small-turkish-clean-uncased
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---
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# atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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This model was adapted from [burakaytan/roberta-small-turkish-clean-uncased](https://huggingface.co/burakaytan/roberta-small-turkish-clean-uncased) and fine-tuned on these datasets:
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- [nli_tr](https://huggingface.co/datasets/nli_tr)
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- [emrecan/stsb-mt-turkish](https://huggingface.co/datasets/emrecan/stsb-mt-turkish)
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**All texts were manually lowercased** as shown below:
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```python
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text.replace("I", "ı").lower()
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```
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## Usage (Sentence-Transformers)
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