legacy-datasets/wikipedia
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How to use ClassCat/roberta-small-greek with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="ClassCat/roberta-small-greek") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-small-greek")
model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-small-greek")transformers==4.19.2
This model uses approximately half the size of RoBERTa base model parameters.
Using BPE tokenizer with vocabulary size 50,000.
from transformers import pipeline
unmasker = pipeline('fill-mask', model='ClassCat/roberta-small-greek')
unmasker("Έχει πολύ καιρό που δεν <mask>.")