Instructions to use WindstormLabs/translate-fi-toi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-toi 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-toi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-toi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73a0bdaac3e17978ae179ba871eb1d205e5ec0852134171de017d55bf9141f32
- Size of remote file:
- 889 kB
- SHA256:
- 52240e73aa056c3c02d3b76912150a2c16be7e62945afe8a8221fff4f94d4246
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.