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:
- 7f9eb3e97aeb9085961bf3367797b19d4eb471afbe1f450ca1e49cc6833d0c7d
- Size of remote file:
- 249 MB
- SHA256:
- 2b2a460303c6a34aff294621d2ce5dfb7f6fbc76e0167914d64909521d616777
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