# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-small-greek")
model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-small-greek", device_map="auto")Quick Links
RoBERTa Greek small model (Uncased)
Prerequisites
transformers==4.19.2
Model architecture
This model uses approximately half the size of RoBERTa base model parameters.
Tokenizer
Using BPE tokenizer with vocabulary size 50,000.
Training Data
- Subset of CC-100/el : Monolingual Datasets from Web Crawl Data
- Subset of oscar
- wiki40b/el (Greek Wikipedia)
Usage
from transformers import pipeline
unmasker = pipeline('fill-mask', model='ClassCat/roberta-small-greek')
unmasker("Έχει πολύ καιρό που δεν <mask>.")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-small-greek")