Instructions to use WindstormLabs/translate-es-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ho 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-ho")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ho", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e0bfbb135b2efb4e79e1d546a2c2d7f9350eb194bf22b09fa8c307a1a702782
- Size of remote file:
- 844 kB
- SHA256:
- b3b044332ed976af316db2fcc1e1654b19042095b793e63a7cc8f6d7a2cbea2c
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