Instructions to use woctordho/lojban-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use woctordho/lojban-translation with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="woctordho/lojban-translation")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("woctordho/lojban-translation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e629b555229003f4a35c908b82430ce021cdabab30112d117903d4f8589bf06a
- Size of remote file:
- 1.54 kB
- SHA256:
- 6a07b3845ad83c76d2cd5b581d014548278da98d741f0eb53897de8561bc5a8f
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