Instructions to use ctkang/m2m100_418M_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctkang/m2m100_418M_10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ctkang/m2m100_418M_10") model = AutoModelForSeq2SeqLM.from_pretrained("ctkang/m2m100_418M_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 183921bc4ef6d71ed1623c29be47bb1ce2c8ded382ddbfda1ac8a7a1b3c69353
- Size of remote file:
- 5.44 GB
- SHA256:
- b94e0d3410ff6818bb648b42c04b533545a2be7c06e9f2d666dc4a79d1e1594c
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