Instructions to use WindstormLabs/translate-fr-mh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-mh 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-mh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-mh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d74eeb21778dd6b057711289df7775357ff0e6f9d1621cf3b820ca674942140c
- Size of remote file:
- 842 kB
- SHA256:
- 4a903678582a388d8255706434223a73af9f0e8f9e86aa21e31a15af04fa25de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.