Instructions to use WindstormLabs/translate-eo-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-pl 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="WindstormLabs/translate-eo-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6852b0ffc43d635bcd52ada96bc346821cf87ede856525483c00f12bc65a5526
- Size of remote file:
- 49.6 MB
- SHA256:
- 2d7c1631c378597922db86eb58b3d4fb11c41a77661db32ea0e523c1f253cb34
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.