Instructions to use WindstormLabs/translate-ca-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ca-nl 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-ca-nl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ca-nl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d82b9de57d6feb669337025238b2f439a54ca217276ce26295ed0046e5a4928
- Size of remote file:
- 449 kB
- SHA256:
- 3e354cd7234f5a027741f9c84f266606c5e2c290df2d9ed422af98e36bc519a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.