Instructions to use TransWiC/xlmr-large-all-E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/xlmr-large-all-E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/xlmr-large-all-E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/xlmr-large-all-E") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/xlmr-large-all-E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5bdece3968b887db52fe26a4e539b7d37a8f1da0791e766373077f044e97e05
- Size of remote file:
- 2.26 GB
- SHA256:
- fb5d6734c94a03eae361f8670d227044f558e3512e084f081c96b03c9a6024a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.