Instructions to use WindstormLabs/translate-es-yo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-yo 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-yo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-yo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00304c56c24291703866056098da0fa38b44eadc0f87b98831ddc459e42ac7a0
- Size of remote file:
- 76.8 MB
- SHA256:
- 872cdc6a9fa5c7b2702502927691a00b8d7173c87e2d451dc06f43c34a7bc853
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