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:
- c13ced264f5af3dc7139a481f8cef2d9f54616a16220d4b661bbf7d2edbe33e2
- Size of remote file:
- 2.81 kB
- SHA256:
- 1aa8a4a682252d4e5369290e8d146d0607f252b0670672b80acbbe057e1691b7
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