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:
- ac97979469ca75b30ae71a8209afebc880e80995f8495d6f0807b6ac5a7b5806
- Size of remote file:
- 2.81 kB
- SHA256:
- a7e527c8a412c7a4de4bbce124ad4891da221e65f35ba4a800ceb5c0f313704f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.