Instructions to use sign/utf16-lm-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sign/utf16-lm-tiny with Transformers:
# Load model directly from transformers import CharacterCausalLMWrapper model = CharacterCausalLMWrapper.from_pretrained("sign/utf16-lm-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1baaa63b365f83ed6aed74f04afbb5e5894c2278f945087864ae41b04cf1855b
- Size of remote file:
- 25.2 MB
- SHA256:
- 6c9418bea7e96f5109e2a38ca0fca089ac2a73d5f346f8fb663ea47f1dbf233f
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