Instructions to use DeepPavlov/rubert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/rubert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepPavlov/rubert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/rubert-base-cased") model = AutoModel.from_pretrained("DeepPavlov/rubert-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened about 1 year ago
by
SFconvertbot
Adding ONNX file of this model
#3 opened about 2 years ago
by
optowo
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot