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:
- 62ab111303f91f12ddfccaccc56f3a450caeb12fafc727bf1708bf937fdb7393
- Size of remote file:
- 790 kB
- SHA256:
- f0c0788cb80bed923705566c7bc90eec26f6b2d9cc8156c8d1ddd2b1a90db0a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.