Instructions to use WindstormLabs/translate-fi-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-pon 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-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96ffe9c80f1a297d66b468e126265f1604e7582f06520a05a0d9b7f7cbc465cc
- Size of remote file:
- 894 kB
- SHA256:
- 4dfa9d6c3c9eb0d9f20f114c23f5f205bed3952481d7c039f0290fdc1ea327b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.