Instructions to use michaelfeil/ct2fast-m2m100-12B-last-ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-m2m100-12B-last-ckpt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-m2m100-12B-last-ckpt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ae26660df9c00c5b54e7d0288cac0a515ff8f01fc3781be2acd377351efba27
- Size of remote file:
- 23.6 GB
- SHA256:
- ae002b68d928b08cedbc5088af2161667d4faf96e2cde4d73a52bee95c1f9a1c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.