Instructions to use rmihaylov/bert-base-theseus-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/bert-base-theseus-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rmihaylov/bert-base-theseus-bg")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rmihaylov/bert-base-theseus-bg") model = AutoModelForMaskedLM.from_pretrained("rmihaylov/bert-base-theseus-bg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c16530a35f6fa970220187fbffa19f2fced627c7f6adf980d848700c88bc3dd
- Size of remote file:
- 542 MB
- SHA256:
- 988666ad7d905e205fe83f3e228e5e05308ed0d611d8d118370950268f62e712
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