Transformers
PyTorch
Safetensors
Ukrainian
t5
text2text-generation
ukrainian
text-generation-inference
Instructions to use ukr-models/uk-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ukr-models/uk-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ukr-models/uk-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("ukr-models/uk-summarizer") - Notebooks
- Google Colab
- Kaggle
Model Description
Fine-tuning of uk-mt5-base model on summarization dataset.
How to Use
from transformers import AutoTokenizer, T5ForConditionalGeneration, pipeline
tokenizer = AutoTokenizer.from_pretrained('ukr-models/uk-summarizer')
model = T5ForConditionalGeneration.from_pretrained('ukr-models/uk-summarizer')
ppln = pipeline("summarization", model=model, tokenizer=tokenizer, device=0, max_length=128, num_beams=4, no_repeat_ngram_size=2, clean_up_tokenization_spaces=True)
text = "..."
ppln(text)
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