Instructions to use WindstormLabs/translate-tpi-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tpi-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-tpi-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tpi-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c2adea607cf19dda936fcef105b1b3a01574959780f2f2e014fa540be20fe6
- Size of remote file:
- 71.4 MB
- SHA256:
- fd88d9c943ce18ac3ef88a76941f41ffef61581c1661b5fb3de8f8db5df5e448
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