Instructions to use WindstormLabs/translate-pl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pl-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-pl-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pl-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe5a8b1b3b84b0e44ce29c951668a163af5699a362d6626e2dbdd62ec71e165a
- Size of remote file:
- 835 kB
- SHA256:
- 86b3b5f9de4f5ed9c46321bab1f865e3aa9ddf63094e89b49dd515aeafa79ce4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.