Instructions to use Sennodipoi/lilt-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sennodipoi/lilt-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sennodipoi/lilt-distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sennodipoi/lilt-distilroberta-base") model = AutoModel.from_pretrained("Sennodipoi/lilt-distilroberta-base") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This model combines the base version of distilroberta + the standalone version of LiLT. It was created with the code available at the original LiLT repository https://github.com/jpWang/LiLT
The model can be used for fine-tuning in token classification tasks or visual question answering.
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