Feature Extraction
Transformers
PyTorch
Safetensors
Russian
English
roberta
text-embeddings-inference
Instructions to use deepvk/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepvk/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/roberta-base") model = AutoModel.from_pretrained("deepvk/roberta-base") - Notebooks
- Google Colab
- Kaggle
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Pretrained bidirectional encoder for russian language.
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The model was trained using standard MLM objective on large text corpora including open social data.
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- **Developed by:** [deepvk](https://vk.com/deepvk)
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Pretrained bidirectional encoder for russian language.
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The model was trained using standard MLM objective on large text corpora including open social data.
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See `Training Details` section for more information
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- **Developed by:** [deepvk](https://vk.com/deepvk)
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