Instructions to use WindstormLabs/translate-ha-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ha-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ha-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efcca89e71532f6ad7bbf0ce0089c7c46b9174e59103598e33c08bd11526389d
- Size of remote file:
- 76 MB
- SHA256:
- cc1660ece9aaf50b0aea2397b7dcf1a43d151aabc1bdb52ffba559a8c52720f9
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