Instructions to use WindstormLabs/translate-am-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-am-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-am-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-am-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 787096822a541b84ddfaa8b8fe2f2edcac93fd2fa99f317bd94199271c64e2fd
- Size of remote file:
- 997 kB
- SHA256:
- e2f348801023c40721083f8698df349f71e049f69efd971c0f2240b9511ac9c6
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