Instructions to use kaist-ai/langbridge_encoder_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaist-ai/langbridge_encoder_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kaist-ai/langbridge_encoder_tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd73c421092e68434db6b62a3246564966c0c8f1460c889d9e0cb35194cba3d
- Size of remote file:
- 16.3 MB
- SHA256:
- aa4d44116f79a46861dc9951db776448c7c252a9ea96baea1ca351859e3cf02c
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