# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("softcatala/julibert")
model = AutoModelForMaskedLM.from_pretrained("softcatala/julibert")Quick Links
Introduction
Download the model here:
- Catalan Roberta model: julibert-2020-11-10.zip
What's this?
Source code: https://github.com/Softcatala/julibert
- Corpus: Oscar Catalan Corpus (3,8G)
- Model type: Roberta
- Vocabulary size: 50265
- Steps: 500000
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="softcatala/julibert")