Instructions to use SCUT-DLVCLab/lilt-roberta-en-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SCUT-DLVCLab/lilt-roberta-en-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SCUT-DLVCLab/lilt-roberta-en-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SCUT-DLVCLab/lilt-roberta-en-base") model = AutoModel.from_pretrained("SCUT-DLVCLab/lilt-roberta-en-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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