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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|Encoder layers | 12 |
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|Max positions | 512 |
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|Vocab size | 50266 |
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## Evaluation
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|Encoder layers | 12 |
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|Max positions | 512 |
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|Vocab size | 50266 |
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|Tokenizer type | Byte-level BPE |
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## Evaluation
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