Instructions to use TransWiC/xlmr-large-zh-ET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/xlmr-large-zh-ET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/xlmr-large-zh-ET")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/xlmr-large-zh-ET") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/xlmr-large-zh-ET") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e5d19c54cefdb16055a49fbf123bf1c3b8411f3d71b0fe13d2f59e6129cd55
- Size of remote file:
- 2.26 GB
- SHA256:
- 3ff8b9d9bff31fe7759b237fda39d75641ba881201382f9ea09e3def968bc964
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