Instructions to use michaelfeil/ct2fast-m2m100_1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-m2m100_1.2B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-m2m100_1.2B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff0d9f677a3b25acef7ba1658c7966be9130ac77ba2d0eaf47fc62b35b174c9d
- Size of remote file:
- 2.48 GB
- SHA256:
- 773500ab6fdf9abc29bb5fb0e601df2fc21b33b3e45863d04f206e59b89af6a7
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