Instructions to use Davlan/m2m100_418M-yor-eng-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/m2m100_418M-yor-eng-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/m2m100_418M-yor-eng-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/m2m100_418M-yor-eng-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 207bac0419a5cd7e89cff519ea053c8ed224b2e1c672b83586cdf7eaae67dc33
- Size of remote file:
- 2.74 kB
- SHA256:
- 3e4869779e438981f339e590e557a3df9de76ac1e551635fe8a567555f8571a4
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