Instructions to use WindstormLabs/translate-fi-gaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-gaa 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-gaa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-gaa", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2d9facb5f3bc6d9c8cd585062237edb14c53e62668fe068874c9c26af0e52e3
- Size of remote file:
- 887 kB
- SHA256:
- 961ee54fef5b21b6d2bb367b219e7caa52342c77b690ceff25a225c7a911bd92
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.