# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("amandyk/QazGPT2")
model = AutoModelForCausalLM.from_pretrained("amandyk/QazGPT2")Quick Links
Welcome to the GPT-2 repository for the Kazakh language(latin alphabet)! This repository contains a language model
that has been trained from scratch on a combination of news and wiki corpora in Kazakh language.
The model is capable of generating coherent and natural-sounding text in Kazakh, and
can be used for a wide range of NLP tasks, including text classification, question answering,
and text generation.
Please note that while the model has been trained on a 4m sentence corpus of text, it may still contain biases or errors. As with any machine learning model, it is important to thoroughly evaluate its performance before using it in production applications.
I recommend to use this qazaq latin converter for testing: https://masa.kz/en
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="amandyk/QazGPT2")