Zero-Shot Classification
Transformers
PyTorch
TensorFlow
Safetensors
xlm-roberta
text-classification
tensorflow
Instructions to use joeddav/xlm-roberta-large-xnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeddav/xlm-roberta-large-xnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="joeddav/xlm-roberta-large-xnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeddav/xlm-roberta-large-xnli") model = AutoModelForSequenceClassification.from_pretrained("joeddav/xlm-roberta-large-xnli") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#11)
Browse files- Adding `safetensors` variant of this model (258f4188a89820987d3c05e71ea6a94b458f86a5)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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