Instructions to use deepvk/RuModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/RuModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepvk/RuModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepvk/RuModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("deepvk/RuModernBERT-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f5e5fb235e069bdab431e0194b5c7f2371361d51899e2900afef6b0fbf26df
- Size of remote file:
- 599 MB
- SHA256:
- 3d219e3777862dbe138159400dc2088428fc8bd2171bbbc3d0b533f729c639ad
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