Instructions to use WindstormLabs/translate-ha-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ha-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-ha-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ha-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 679b423dc5705ce0baee9b48c7125f7c6e3bebad1eda60973f18c8f2e008c445
- Size of remote file:
- 75.5 MB
- SHA256:
- 9d3579e8fb79af1eed26eb8cbf9102705cb4a990d9d2ea7fc8637e5f9c2a85be
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