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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc59eca8a6f0835a303784578bdbdb5c0554d387757773a482f982d913090a2c
- Size of remote file:
- 499 MB
- SHA256:
- 14a76e9bd8e0fc9dbfaa2eac0ae32c9bf4954112cf53a030c5a2ce9805721688
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