metadata

language: tr
tags:
  - turkish
  - tr
  - gpt2-tr
  - gpt2-turkish
license: mit
metrics:
  - accuracy

Turkish GPT-2 Model (Experimental)

I've made available a GPT-2 model for Turkish that I trained on a variety of texts.

The model is intended to serve as a starting point for text-specific adjustments.

Training Source

I used a Turkish corpus that is taken from different written and oral sources.

I developed a LLM model with 50k vocabulary using the Custom Tokenizers library using the training resources.

I could train the GPT-2 for Turkish using the entire training corpus (ten epochs) after developing the vocabulary.

Using the model

The model itself can be used in this way:

from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("ahmet1338/gpt-2-experimental")
model = AutoModelWithLMHead.from_pretrained("ahmet1338/gpt-2-experimental")

To generating text, we can use these lines of code which is Transformers Pipelines:

from transformers import pipeline
pipe = pipeline('text-generation', model="ahmet1338/gpt-2-experimental",
                 tokenizer="ahmet1338/gpt-2-experimental", 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/ahmet1338/gpt-2-experimential