Instructions to use WindstormLabs/translate-en-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-is 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-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef2083ba79306f721c66175e13dffaef2f7035751e030af2e7c321b04da14487
- Size of remote file:
- 801 kB
- SHA256:
- 3ef9559dfe62e807d53f9c8505d9b4d530a32c15f28959bc11518d8930b70366
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.