Instructions to use WindstormLabs/translate-en-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-tpi 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-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a0dc4217a067a19933355f23f77a229374ea9cdeaef3830853c09e13567256f
- Size of remote file:
- 71.4 MB
- SHA256:
- a320f913a54606c33c2bc22fd1323608d2cf67f3450f8da7ea24401b2e7645de
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