Instructions to use WindstormLabs/translate-chk-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-chk-es 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-chk-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-chk-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7b95dcc9ebaf96a6d19d565a8af25a4b33058203f85916a93202cf3ca8d4118
- Size of remote file:
- 801 kB
- SHA256:
- 85d0d2a3946ceffe2a0d3589e6d250516520213ea5f2ec3607117de1cbf34cba
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