Instructions to use WindstormLabs/translate-sv-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-hu 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-sv-hu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-hu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d207c8d9f4dcb0e69301908efdbb4f4d18cdfacc5cac21a9396886fb52d8b4af
- Size of remote file:
- 815 kB
- SHA256:
- 6caebbb2033bc6115e267233abc884b7caa8c9235b723a11d9fcc9415356c221
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