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--- |
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language: tr |
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tags: |
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- turkish |
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- tr |
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- gpt2-tr |
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- gpt2-turkish |
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license: mit |
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metrics: |
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- accuracy |
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--- |
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# 🇹🇷 Turkish GPT-2 Model |
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In this repository I release GPT-2 model, that was trained on various texts for Turkish. |
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The model is meant to be an entry point for fine-tuning on other texts. |
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## Training corpora |
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I used a Turkish corpus that is taken from different written and oral sources. |
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With the Tokenizers library, I created a 52K BPE vocab based on the training corpus. |
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After creating the vocab, I could train the GPT-2 for Turkish on over the complete training corpus (five epochs). |
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Logs during training: |
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https://tensorboard.dev/experiment/3AWKv8bBTaqcqZP5frtGkw/#scalars |
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## Using the model |
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The model itself can be used in this way: |
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``` python |
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from transformers import AutoTokenizer, AutoModelWithLMHead |
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tokenizer = AutoTokenizer.from_pretrained("ahmet1338/gpt2-turkish-cased") |
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model = AutoModelWithLMHead.from_pretrained("ahmet1338/gpt2-turkish-cased") |
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``` |
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Here's an example that shows how to use the great Transformers Pipelines for generating text: |
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``` python |
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from transformers import pipeline |
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pipe = pipeline('text-generation', model="ahmet1338/gpt2-turkish-cased", |
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tokenizer="ahmet1338/gpt2-turkish-cased", config={'max_length':800}) |
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text = pipe("Akşamüstü yolda ilerlerken, ")[0]["generated_text"] |
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print(text) |
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``` |
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### How to clone the model repo? |
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``` |
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git lfs install |
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git clone https://huggingface.co/ahmet1338/gpt2-turkish-cased |
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``` |
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