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:
- 75a0335c694aab621b17f025f566fe4b76fbe64634c184a4f113c6ed69126f70
- Size of remote file:
- 77 MB
- SHA256:
- 11b076984786a227aec8c98f03c50c0b240277dd827f89e0fa67c824bb5cf8d5
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