Instructions to use michaelfeil/ct2fast-m2m100_418M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-m2m100_418M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-m2m100_418M", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 489c830342e162a151c752aacc4c91a223976d5d472d54e70714ba6b10a9c2e4
- Size of remote file:
- 970 MB
- SHA256:
- 0b70f12bc9af78a921f2f4b2049aeae745c0a70613a0cd58d3d26bd4571177bd
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