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:
- 2b8bba08caa30b765b4a053358e64d8d4fd354ceb8b596b8dcee2afbf2b7bd7c
- Size of remote file:
- 498 MB
- SHA256:
- bb8596a625ce7227afc04b84f5ac9ac8029a06d950d372ebd163f2427e626d9b
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