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
- Downloads last month
- 11
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.