Instructions to use WindstormLabs/translate-ht-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ht-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-ht-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ht-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c1c594bbecd1c089916f52a08b922fc49e49f937ba275ee2363ed1ca008ef26
- Size of remote file:
- 595 kB
- SHA256:
- 41c0d1a17ce591d3672a9dd8a8b7cc85abeee57e624312717c8c4288cae2cca0
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