# 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:

``` python
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:

``` python
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
```


{"language": "tr", "license": "mit", "tags": ["turkish", "tr", "gpt2-tr", "gpt2-turkish"], "metrics": ["accuracy"]}
transformers pytorch tf jax gpt2 text-generation turkish tr gpt2-tr gpt2-turkish license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us