Instructions to use KotshinZ/gpt2-RMT-2-mem512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KotshinZ/gpt2-RMT-2-mem512 with Transformers:
# Load model directly from transformers import RecurrentMemoryTransformer model = RecurrentMemoryTransformer.from_pretrained("KotshinZ/gpt2-RMT-2-mem512", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c42d2f2ddeb662886ed5b908333a3afb0b7ad89db1b33301947c4717961b1b26
- Size of remote file:
- 7.35 kB
- SHA256:
- cbb45d4b8223f141e7950f15066fdb3796697a543d5274ffce9e5110eceddf62
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