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
Commit History
revert (3) tokenizer files commits f62c382
try updating config file fde8789
re-add tokenizer files 1f9406d
Upload xlm-roberta-large tokenizer files a2a45f8
Update widget examples to new format 9c1619b
Joe Davison commited on
Make widgets multiclass 54ba9a8
Joe Davison commited on