# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Sennodipoi/lilt-distilroberta-base")
model = AutoModel.from_pretrained("Sennodipoi/lilt-distilroberta-base", device_map="auto")Quick Links
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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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sennodipoi/lilt-distilroberta-base")