Instructions to use UIC-Liu-Lab/DAS-Rest2Cam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UIC-Liu-Lab/DAS-Rest2Cam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UIC-Liu-Lab/DAS-Rest2Cam")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UIC-Liu-Lab/DAS-Rest2Cam") model = AutoModelForMaskedLM.from_pretrained("UIC-Liu-Lab/DAS-Rest2Cam") - Notebooks
- Google Colab
- Kaggle
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Please see [ContinualLM](https://github.com/UIC-Liu-Lab/ContinualLM) for details.
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Please see [ContinualLM](https://github.com/UIC-Liu-Lab/ContinualLM) or our [paper](https://arxiv.org/abs/2302.03241) for details.
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