Instructions to use WindstormLabs/translate-ja-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-hu 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-ja-hu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-hu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2d59c8200a56a216a30e8d86fad877b45d3f23eb3f5c1d0c61acda9e0657bb4
- Size of remote file:
- 842 kB
- SHA256:
- daa7b77f8d4552585dcad0f54bca9affacdf4f6dd1c9539e6ec002145970fb88
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.