Instructions to use WindstormLabs/translate-de-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-fi 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-de-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 348b0f42130fd5f713b14aa15576c54c1b1af671c3a546d0da18230fad40cfb1
- Size of remote file:
- 77 MB
- SHA256:
- 4b5713fcb365b31d9cd11cd64f118962a938d5942c8899c11a0a9e06ae6c1185
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.