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:
- a06a3aa675438399c2f1cf0ccc9a8739409b4bb4745acb6fbc2b9663a780d84c
- Size of remote file:
- 249 MB
- SHA256:
- 8d237600614a23ab38e6e8626c1a3495f6abbc5bc35856fee8d2c293889dbd3f
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