Text Classification
Transformers
PyTorch
Japanese
roberta
zero-shot-classification
nli
Eval Results (legacy)
Instructions to use Formzu/roberta-base-japanese-jsnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Formzu/roberta-base-japanese-jsnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Formzu/roberta-base-japanese-jsnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Formzu/roberta-base-japanese-jsnli") model = AutoModelForSequenceClassification.from_pretrained("Formzu/roberta-base-japanese-jsnli") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot