Zero-Shot Classification
Transformers
PyTorch
Safetensors
Russian
bert
text-classification
rubert
russian
nli
rte
Instructions to use cointegrated/rubert-base-cased-nli-twoway with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rubert-base-cased-nli-twoway with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="cointegrated/rubert-base-cased-nli-twoway")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-base-cased-nli-twoway") model = AutoModelForSequenceClassification.from_pretrained("cointegrated/rubert-base-cased-nli-twoway") - Notebooks
- Google Colab
- Kaggle
Commit ·
b1f9626
1
Parent(s): 4041a5c
Train one more epoch
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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