Instructions to use WindstormLabs/translate-es-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ln 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-es-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77fc8ceb164a36e7582bfd19f311d23dffc92304670a5f5f7694ae02735ac7a2
- Size of remote file:
- 811 kB
- SHA256:
- f4a202854977d1a510dbd19f7fa08c0a5a386fb3fdd0841adc1d30b0e9846322
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.