Transformers
PyTorch
Safetensors
Russian
bert
next-sentence-prediction
russian
conversation
chats
embeddings
coherence
Instructions to use astromis/rubert_reply_recovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use astromis/rubert_reply_recovery with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("astromis/rubert_reply_recovery") model = AutoModelForNextSentencePrediction.from_pretrained("astromis/rubert_reply_recovery") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a42dbf69b7280fe1839a411daa6a9d5782f13b9ac2d21755240c7cd0074be09
- Size of remote file:
- 712 MB
- SHA256:
- 8e43c082bfd116c7f9e437bb4bc34ff8430bfd5e9ee4e4ca09d1a5a9930234bc
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