Instructions to use WindstormLabs/translate-st-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-st-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-st-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-st-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11cb8ede1bcb4f3321496e43a8a815c45ed935d3a964ca7b9ff8ac4ffcd4d41a
- Size of remote file:
- 77.6 MB
- SHA256:
- 984e3119d4ef20877d6e867c2e4a10fbe2232b3f86cf6da71d955eac1386c8a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.