Translation
Transformers
Safetensors
English
gem
marian
windyword
english
germanic
german
dutch
swedish
danish
norwegian
Instructions to use WindstormLabs/translate-en-gem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-gem 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-gem")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-gem", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef84dee533bcd5d1e1345d59659d0e6414517a4488da05deaac522eaf6653287
- Size of remote file:
- 75.2 MB
- SHA256:
- dd9fcfdde2ef0454cd14d25c796888f8c8289caee6c70865b4cdb6a8f022bebd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.