Instructions to use iarfmoose/roberta-small-bulgarian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/roberta-small-bulgarian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iarfmoose/roberta-small-bulgarian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("iarfmoose/roberta-small-bulgarian") model = AutoModelForMaskedLM.from_pretrained("iarfmoose/roberta-small-bulgarian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22634f44e26722da9791c25f99d349d3691ee6539ce8ed129e9c392fa4431a7d
- Size of remote file:
- 336 MB
- SHA256:
- 4cfee2133d00f114c4c60ebd10fb0f27dbfdbab090e1ff3b957d26449b09985d
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