legacy-datasets/mc4
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How to use TUKE-KEMT/slovak-t5-base with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("TUKE-KEMT/slovak-t5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("TUKE-KEMT/slovak-t5-base", device_map="auto")Monolingual Slovak model, trained from scratch on web data.
This model have to be fine-tuned for a specific task, does not support any instructions or prefixes yet.
After fine-tuning, it is suitable for tasks such as:
Trained on the Slovak subset of mc4 dataset with NanoT5 with default settings.
The training corpus has together 14B tokens after deduplication.
It consists of the Slovak data from:
After finetuning for question answering on SK-QUAD, it gives:
The model is published as it is. We did not make any specific attempts to clean up the data.
Free for scientific and commercial use under the terms of: cc-by-sa-4.0