Instructions to use WindstormLabs/translate-it-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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-it-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d21273c1a4f98332a65acf3c276f7772f7cfd9e3cfccd02689646abbd0aeab40
- Size of remote file:
- 825 kB
- SHA256:
- 9852c5c3c5601a5d6759d15ecb7100d3e56395b75b9496cb8d2bb45aaa1ac2bb
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