Instructions to use WindyWord/translate-mh-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mh-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="WindyWord/translate-mh-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mh-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a28bb2f86b8be0c9dd24837860243d36fd2edf93f6b682054ed0e80cb6ef23aa
- Size of remote file:
- 73.7 MB
- SHA256:
- cf9d927b2e452267f2b8202b20b99101f2ef37af22876f6481180f69c4948552
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