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
Download rsg.jpg from deepvk/RuModernBERT-base: direct link, hf CLI and curl.
- Browser
- Download file 238 kB
-
https://huggingface.co/deepvk/RuModernBERT-base/resolve/main/rsg.jpg
- Command line
-
hf download hf://deepvk/RuModernBERT-base/rsg.jpg
-
curl -L -o rsg.jpg https://huggingface.co/deepvk/RuModernBERT-base/resolve/main/rsg.jpg
238 kB

- Xet hash:
- d2fd4c76acd111f741a0bfc92d2377cf6c36f8f12be9593151d6a7534e6cf245
- Size of remote file:
- 238 kB
- SHA256:
- 10cc22864cedb8a9cc2115930a5a8542ae99f1521287881dec3e46d30c6b0f12
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