Instructions to use WindstormLabs/translate-tiv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tiv-en 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-tiv-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tiv-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa6aff4f43f8e2b74bcd57d6d92a4428c361eb2b0c491653e19f872ebecfbffd
- Size of remote file:
- 526 kB
- SHA256:
- 7ea2228dc5d1aca867b68c2bd021881735514dc072229bdf6796c70c673ad87e
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