Instructions to use WindyWord/translate-fr-mh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-fr-mh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-mh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c449145f99331b36f3192beff2c9abb21a4434d929ad2b71552d56f40958171e
- Size of remote file:
- 674 kB
- SHA256:
- a8412f15d525a6ccee80514b1165085854c3c93cb7c2b1ae60101f12d618c16a
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