Instructions to use KoichiYasuoka/roberta-base-serbian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-serbian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-serbian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-serbian") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-serbian") - Notebooks
- Google Colab
- Kaggle
roberta-base-serbian
Model Description
This is a RoBERTa model in Serbian (Cyrillic and Latin) pre-trained on srWaC. You can fine-tune roberta-base-serbian for downstream tasks, such as POS-tagging, dependency-parsing, and so on.
How to Use
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-serbian")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-serbian")
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