Instructions to use WindstormLabs/translate-fi-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-ha 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-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b465d509964ee2ccf90cb18aeb6881489cdef1d179b53792f59a03c6db6dfa1d
- Size of remote file:
- 728 kB
- SHA256:
- 57497f8c25f0a3937f5a97ba7b499efc0c3c29ae5fc47daababb736fbb71bbe5
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