Instructions to use WindyWord/translate-eo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-en 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="WindyWord/translate-eo-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6335c80ecef40c93e10ecce021fda44ad14e75407913319ba554d7ac068511f
- Size of remote file:
- 76.5 MB
- SHA256:
- 8109973373efed3985f7db2d01cdd95104471f037ab6cdf88806ad9657d60279
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.