Instructions to use rmihaylov/bert-base-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/bert-base-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rmihaylov/bert-base-bg")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rmihaylov/bert-base-bg") model = AutoModelForMaskedLM.from_pretrained("rmihaylov/bert-base-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b89af017079d816328b9d5e4d975a6562c7208a223f258d3c060fb6e963b9e9c
- Size of remote file:
- 712 MB
- SHA256:
- 43c050b1676cfd819fdeb2b895a1e3e2ad7ffcd9ba2fd90dbb68007d85293630
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