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:
- 98a500b93a61dbd1c52a194402542e7664d567bf56b26f75914b8ea2a46694dc
- Size of remote file:
- 1.26 kB
- SHA256:
- 89aa616a795b8cebb4a3f994586789cb057fecc720a1c6d5dc95b12e43cd0c88
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