Instructions to use WindyWord/translate-ty-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ty-fr 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-ty-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ty-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecdda91c1fbe42a97bb3df163afc8a7f523268ffa1530db3742d2281c29c218e
- Size of remote file:
- 767 kB
- SHA256:
- 11bf8596f113e8abda408bd46604535d8a565bc0c7a0eb23e58862c7bbcc781c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.