Instructions to use KotshinZ/gpt2-RMT-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KotshinZ/gpt2-RMT-2 with Transformers:
# Load model directly from transformers import RecurrentMemoryTransformer model = RecurrentMemoryTransformer.from_pretrained("KotshinZ/gpt2-RMT-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64f6e4c7fbf006f0bdae22296aa925a75e70afbc7553f5b927c7df31774f96fb
- Size of remote file:
- 249 MB
- SHA256:
- 203c58315e462136da93aea0cc81387cd50fe8ac5e3d6dca237c751d223ab4fd
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