Instructions to use iarfmoose/roberta-base-bulgarian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/roberta-base-bulgarian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iarfmoose/roberta-base-bulgarian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("iarfmoose/roberta-base-bulgarian") model = AutoModelForMaskedLM.from_pretrained("iarfmoose/roberta-base-bulgarian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5efeb22c9aa807fdb42c0e5873448ecb0a4cab8405accbb39fc31d1af73be97b
- Size of remote file:
- 504 MB
- SHA256:
- 100df692925d87ff66f80200dcaaf4c12935e573de07021980ff4f61f767f283
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