Instructions to use WindstormLabs/translate-hil-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hil-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-hil-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hil-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6168f2a79a89ee9afb8ac8955128c4db7a03faf3e98a4d1a0418a950331d9ffa
- Size of remote file:
- 77.5 MB
- SHA256:
- b95712a1d9fb93e55b05f701768a6753021447f2daf7f4caf69481752b8f949b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.