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
metadata
tags:
- autotrain
- translation
language:
- en
- jbo
datasets:
- woctordho/autotrain-data-lojban-translation
license: mit
library_name: transformers
pipeline_tag: translation
This is a very early experiment of Lojban machine translation. Nowadays LLMs can do better than this.