Instructions to use ai-forever/ruBert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/ruBert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ai-forever/ruBert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai-forever/ruBert-large") model = AutoModelForMaskedLM.from_pretrained("ai-forever/ruBert-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9eccfd55431271789f37b7107609a86e4103025627568a99e41173792e034a
- Size of remote file:
- 1.71 GB
- SHA256:
- ceaad6aa8a3e4809bbf201a57579ef33f0f85ca9e3ab2d39f560209b11180fa1
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