Instructions to use WindstormLabs/translate-es-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-mt 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-es-mt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-mt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d4888d6f238a554eaa14264d8725c424097189de1eaa3aee61793a246e549a1
- Size of remote file:
- 791 kB
- SHA256:
- 621554749f7f1fe47e1025d5c0d1947560721731acb1b0d091a757555f7a9920
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