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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/roberta-base") model = AutoModel.from_pretrained("deepvk/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (3aae27a56a91aee9bf699d0bf9b962955c2a83f9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>324f50e -
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Set feature extraction pipeline6dcf538
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initial commit
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