Instructions to use WindyWord/translate-fr-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-hil 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="WindyWord/translate-fr-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2ae799c8760bdc82de96e6a3f954dbc6b93afe7ddc513b24c12a20de52b689f
- Size of remote file:
- 76.8 MB
- SHA256:
- bdcbca00a8c520153e1d37ab22e8cca93c26a05ba9223384bb586cd09a227c48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.