Instructions to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-bh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-bh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-bh") model = AutoModelForMultimodalLM.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-bh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 574f364f3e4226efb7e3893fc3709ec0a46f36e8f0ff7f2a6c2f7d62f6dcfedb
- Size of remote file:
- 16.3 MB
- SHA256:
- 3177a3143849c3ea44b46cfd1cc08d456c5a9a21e68d0d7d9c09d5802bbcd973
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