Instructions to use WindstormLabs/translate-fr-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-ar 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-fr-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 031b66de0a74a57bf73db7ef6fa7bb53a1d89af6883ba35a6a93d0be24146ae5
- Size of remote file:
- 925 kB
- SHA256:
- ccaf1383c4d5296fff63006aaba595931a0da0edf3e2c1a0a3a85cc1e757aafd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.