Instructions to use WindstormLabs/translate-tw-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tw-sv 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-tw-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tw-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f67e3743088184cbdd3f4fd0a4afac5a8a9f189e73be09cf283a457f82d0d93
- Size of remote file:
- 857 kB
- SHA256:
- 17bd3693258b8adb2cc8b08120472fb07c24b7b5da96a11ff28e9980566496f1
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