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