Instructions to use nielsr/lilt-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/lilt-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nielsr/lilt-xlm-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nielsr/lilt-xlm-roberta-base") model = AutoModel.from_pretrained("nielsr/lilt-xlm-roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1956f05e0d6d771d4dc930c88b9e13c22176c31969c7d7283f2e6738c8176d6
- Size of remote file:
- 1.14 GB
- SHA256:
- da7f1df2870545b831861a82315eb20fbec1ec23e6f4a361e5268bfea643614a
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