statmt/cc100
Updated • 2.25k • 106
How to use Andrija/SRoBERTa-XL with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-XL") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-XL")
model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-XL")Trained on 28GB datasets that contain Croatian and Serbian language for one epochs (3 mil. steps). Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr datasets
| Model | #params | Arch. | Training data |
|---|---|---|---|
Andrija/SRoBERTa-XL |
80M | Forth | Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr (28 GB of text) |