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
File size: 135 Bytes
9d583db | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:16e094c0a2a7d8088d66811ca75cb664b8c8b69e9efbf4952593d292ba518da6
size 1112257205
|