Text Classification
Transformers
Safetensors
Japanese
multilingual
xlm-roberta
sequence-classification
intent-classification
massive
ja-JP
Eval Results (legacy)
text-embeddings-inference
Instructions to use takehika/xlm-roberta-ja-massive-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use takehika/xlm-roberta-ja-massive-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="takehika/xlm-roberta-ja-massive-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("takehika/xlm-roberta-ja-massive-intent") model = AutoModelForSequenceClassification.from_pretrained("takehika/xlm-roberta-ja-massive-intent") - Notebooks
- Google Colab
- Kaggle
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