62 lines
1.6 KiB
Markdown
62 lines
1.6 KiB
Markdown
---
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language:
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- hu
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tags:
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- text-generation
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- puli
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license: cc-by-nc-4.0
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widget:
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- text: Elmesélek egy történetet a nyelvtechnológiáról.
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---
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# PULI GPT-2
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For further details, see [our demo site](https://juniper.nytud.hu/demo/gpt2).
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- Hungarian GPT-2 model
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- Trained with Megatron-DeepSpeed [github](https://github.com/microsoft/Megatron-DeepSpeed)
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- Dataset: 36.3 billion words
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- Checkpoint: 500 000 steps
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## Limitations
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- max_seq_length = 1024
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## Citation
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If you use this model, please cite the following paper:
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```
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@inproceedings {yang-puli,
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title = {Jönnek a nagyok! BERT-Large, GPT-2 és GPT-3 nyelvmodellek magyar nyelvre},
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booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2023)},
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year = {2023},
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publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
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address = {Szeged, Hungary},
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author = {Yang, Zijian Győző and Dodé, Réka and Ferenczi, Gergő and Héja, Enikő and Jelencsik-Mátyus, Kinga and Kőrös, Ádám and Laki, László János and Ligeti-Nagy, Noémi and Vadász, Noémi and Váradi, Tamás},
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pages = {247--262}
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}
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```
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## Usage
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```python
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from transformers import GPT2Tokenizer, GPT2Model
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tokenizer = GPT2Tokenizer.from_pretrained('NYTK/PULI-GPT-2')
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model = GPT2Model.from_pretrained('NYTK/PULI-GPT-2')
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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```
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## Usage with pipeline
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```python
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from transformers import pipeline
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prompt = "Elmesélek egy történetet a nyelvtechnológiáról."
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generator = pipeline(task="text-generation", model="NYTK/PULI-GPT-2")
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print(generator(prompt)[0]["generated_text"])
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``` |