Instructions to use WindstormLabs/translate-es-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-tl 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-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8ddbd5c87b6052c399a3fd86cb350ff3b907879c08e1bf6b5c2407b5eae8bd5
- Size of remote file:
- 833 kB
- SHA256:
- 620b1c6f6f5e5df6684314d9cd960eff44d182862354e854ae86d2f4648da950
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