Instructions to use WindstormLabs/translate-fi-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-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-fi-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 024890a5fea1ac5b7e8adcca73f4674a6f5773565ed31563c67c6c57ac948ce0
- Size of remote file:
- 73.9 MB
- SHA256:
- 999741b95e6a443568e49435cf6cbdafb27a680c96634a2e96b69533dea6da73
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