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:
- ce5ff5bca87f31c43ef466952bab5be5bec6c64886f830e2a270aefb4e0ff2d8
- Size of remote file:
- 88.9 MB
- SHA256:
- e68f4e0ed9e04322141623b7bfc8f7a4ba6e717e319e0d690c4106b14605aeab
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