Instructions to use WindstormLabs/translate-no-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-no-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-no-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-no-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 561fe96d5bd0a5be624a392230f590b1d7a36738a49f20876e7d93cc3e39c18c
- Size of remote file:
- 303 kB
- SHA256:
- 7738805319d494dd812f8997708dd31e752ba2c72174285310e0ea398c22b92f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.