Instructions to use WindstormLabs/translate-fi-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b2d691af04ec79b3a0f708241965b4028bff886466a367f11cb28448f4f5815
- Size of remote file:
- 886 kB
- SHA256:
- 8d016cf7648b062bfdbc76e82b84038408ac5a8db1cc0198cdce956fe03790f4
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