Instructions to use WindyWord/translate-es-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-bcl 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="WindyWord/translate-es-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9164195e403733d9c134655c51163ac9f120157ab9e1e46f7d228e6d4155668
- Size of remote file:
- 76.8 MB
- SHA256:
- cced9d963e86d31a62054cbd10d708c17f9070b575049b6377b02f5f3b4f1de0
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