Instructions to use WindstormLabs/translate-ln-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ln-es 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-ln-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ln-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb4bdc3bca71665464589f164b63a245e7051139970d8473d6739349bf328709
- Size of remote file:
- 847 kB
- SHA256:
- 77da9345917487d1866f9b57e694eb179369ceaddae77b2506c6f3bc633b270e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.