Instructions to use DAMO-NLP-SG/rememo-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/rememo-large with Transformers:
# Load model directly from transformers import AutoTokenizer, T5ForTemporalPretraining tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/rememo-large") model = T5ForTemporalPretraining.from_pretrained("DAMO-NLP-SG/rememo-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7c94fb3c473ac04226361ff5365926e5f2a85d5088834eb1ac6a07b4574b50e
- Size of remote file:
- 3.15 GB
- SHA256:
- 82857ef1a6599a0e0b717ec742588b45d5ffc36aecac670d0c56537043117163
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