Instructions to use Davlan/m2m100_418M-eng-yor-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/m2m100_418M-eng-yor-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/m2m100_418M-eng-yor-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/m2m100_418M-eng-yor-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2468ea91d2499275f525148a6aa27468327a09484d9519a9c88681ceecbe61ac
- Size of remote file:
- 1.94 GB
- SHA256:
- 7454d91887a3300a3eb9e96978698e754748df3c5edd42ad6a920bad30affe12
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