Instructions to use WindstormLabs/translate-en-toi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-toi 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-en-toi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-toi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c33c4dc1af4f15ddcf58d610aceaca90ca245868ce3fc9543a206a54b13adc46
- Size of remote file:
- 817 kB
- SHA256:
- e6e46058ac83f94d406bfe7b941e45146f892442f01e5a072a8e45a107c3ad82
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