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:
- fa90eb4cda1aae930e6302dd53bd0c2e6c17c81dca2b69f9c71a61fa1b4b24d1
- Size of remote file:
- 310 MB
- SHA256:
- bc31f2e890c6d56a3259b5e18d5923258cc2951e7fc64d8c79b886acc666a373
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