Instructions to use WindstormLabs/translate-es-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-da 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-da")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-da", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91eda25908e0c1411b25f04aa133bc19df32d59beb0fccacc3de1a68e71349b1
- Size of remote file:
- 818 kB
- SHA256:
- bea29482a83045e38fe685179d548c6347bc19b1f422d9361ce08992a501e728
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.