Instructions to use WindstormLabs/translate-en-tiv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-tiv 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-tiv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-tiv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1724b18cb8e0ad800799e3f5f6b63606774badcbaef33e5be10f55ec7042156f
- Size of remote file:
- 797 kB
- SHA256:
- d3a81ce7453c5fb17b028c8ee0519933f5eed736fcf9232d0cb125e5ac5f2eaa
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