Instructions to use WindstormLabs/translate-en-xh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-xh 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-en-xh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-xh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 358d96745adb32afc611ca439fec620677a80f8dc5b02960785af277ccff86a7
- Size of remote file:
- 819 kB
- SHA256:
- dbb63ce8ce4f7ea863915fb95ea115a512346a67e48b3060a3b218408f50413e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.