SlovakT5-small

This model was trained on slightly adapted code from run_t5_mlm_flax.py . If you want to know about training details or evaluation results, see SlovakT5_report.pdf . For evaluation, you can also run SlovakT5_eval.ipynb .

How to use

SlovakT5-small can be fine-tuned for a lot of different downstream tasks. For example, NER:

from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("ApoTro/slovak-t5-small")
model = T5ForConditionalGeneration.from_pretrained("ApoTro/slovak-t5-small")

input_ids = tokenizer("ner veta: Do druhého kola postúpili Robert Fico a Andrej Kiska s rozdielom 4,0%.", return_tensors="pt").input_ids
labels = tokenizer("per: Robert Fico | per: Andrej Kiska", return_tensors="pt").input_ids

# the forward function automatically creates the correct decoder_input_ids
loss = model(input_ids=input_ids, labels=labels).loss
loss.item()