Instructions to use WindstormLabs/translate-fr-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7312b6cffa3a2b9f5cdeccafe59fdb4ff3407bc9885009a1f904553adb32674
- Size of remote file:
- 76.8 MB
- SHA256:
- 96fd2d09609139b929f2b48d7bf7b3a551ee9ca719df0c57d4396b0049ec27ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.