Instructions to use morit/XLM-T-full-xnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morit/XLM-T-full-xnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="morit/XLM-T-full-xnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morit/XLM-T-full-xnli") model = AutoModelForSequenceClassification.from_pretrained("morit/XLM-T-full-xnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1da0f9ae1995ef90b2d8c18c82e0b7ee73915bc5ff3e1a92dd240d545bd5cee
- Size of remote file:
- 3.45 kB
- SHA256:
- d8d7f11f61142eaf80c50da20ea65ab40e16eb28ce0ac318ce8e8b56177e981d
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