Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use tuni/xlm-roberta-large-xnli-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuni/xlm-roberta-large-xnli-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tuni/xlm-roberta-large-xnli-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tuni/xlm-roberta-large-xnli-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("tuni/xlm-roberta-large-xnli-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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