Instructions to use amiguel/custom-en2fr-transformer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amiguel/custom-en2fr-transformer-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amiguel/custom-en2fr-transformer-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0679b1d8e08b0b5d5150762b444f1f3bcdf610a5b4f3ee8be5cc1265d6ce83bf
- Size of remote file:
- 493 kB
- SHA256:
- 6c749ac01743123bd4a4683e075dbd828745e122146f160835149737f8bf23f2
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