language: tr
tags:
- turkish
- tr
- gpt2-tr
- gpt2-turkish
🇹🇷 Turkish GPT-2 Model
In this repository I release GPT-2 model, that was trained on various texts for Turkish.
The model is meant to be an entry point for fine-tuning on other texts.
Training corpora
I used a Turkish corpora that is taken from oscar-corpus.
It was possible to create byte-level BPE with Tokenizers library of Huggingface.
With the Tokenizers library, I created a 52K byte-level BPE vocab based on the training corpora.
After creating the vocab, I could train the GPT-2 for Turkish on two 2080TI over the complete training corpus (five epochs).
Logs during training: https://tensorboard.dev/experiment/3AWKv8bBTaqcqZP5frtGkw/#scalars
Model weights
Both PyTorch and Tensorflow compatible weights are available.
| Model | Downloads |
|---|---|
redrussianarmy/gpt2-turkish-cased |
config.json • merges.txt • pytorch_model.bin • special_tokens_map.json • tf_model.h5 • tokenizer_config.json • traning_args.bin • vocab.json |
Using the model
The model itself can be used in this way:
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("redrussianarmy/gpt2-turkish-cased")
model = AutoModelWithLMHead.from_pretrained("redrussianarmy/gpt2-turkish-cased")
Here's an example that shows how to use the great Transformers Pipelines for generating text:
from transformers import pipeline
pipe = pipeline('text-generation', model="redrussianarmy/gpt2-turkish-cased",
tokenizer="redrussianarmy/gpt2-turkish-cased", config={'max_length':800})
text = pipe("Akşamüstü yolda ilerlerken, ")[0]["generated_text"]
print(text)
How to clone the model repo?
git lfs install
git clone https://huggingface.co/redrussianarmy/gpt2-turkish-cased
Contact (Bugs, Feedback, Contribution and more)
For questions about the GPT2-Turkish model, just open an issue here 🤗