Instructions to use ai-forever/ruBert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/ruBert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ai-forever/ruBert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai-forever/ruBert-base") model = AutoModelForMaskedLM.from_pretrained("ai-forever/ruBert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ai-forever/ruBert-base: direct link, hf CLI and curl.
- Browser
- Download file 716 MB
-
https://huggingface.co/ai-forever/ruBert-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ai-forever/ruBert-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai-forever/ruBert-base/resolve/main/pytorch_model.bin
716 MB
- Xet hash:
- b9ede233dbca23485ef3f4a0d3a1646ded6508bee35721cf49db5ee91039e586
- Size of remote file:
- 716 MB
- SHA256:
- 6ab6521e029933cfd0731798544bf7d51876905752e760919c94e5eb4e37f851
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