Instructions to use WindyWord/translate-xh-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-xh-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="WindyWord/translate-xh-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-xh-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00ea42aa949b02a30326ef29847d69cc800aae4a68e3c267bcc80134ee59a76d
- Size of remote file:
- 820 kB
- SHA256:
- e219a29f064ece665b71625456c057800a9f718d86a8d513d92f61c58ae26cdc
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