Instructions to use WindstormLabs/translate-fi-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-ln 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-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30c48881a8f3c5378d96fe3ec53cad911f655d793866fe3273800cc9e623bdcf
- Size of remote file:
- 880 kB
- SHA256:
- f8afaf1e460385cbdbdb66edbfe6605974a54e497148fbb57e5348d99d37eff1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.