Instructions to use WindstormLabs/translate-fi-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-no 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-fi-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b66ed93de2eea6e29388950a7ddc72747891e59f55096b21e6390b8f4f949a86
- Size of remote file:
- 49.5 MB
- SHA256:
- 465c5251bc85acdad03952541ad3dfec8012d2a91b041fe9aa7ce12a9d74c1a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.