Instructions to use remots/nllb-mulgi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remots/nllb-mulgi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("remots/nllb-mulgi") model = AutoModelForSeq2SeqLM.from_pretrained("remots/nllb-mulgi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de07f59e4073631d3800315ae38735d96955b151f2aeed2ed1ad6c7272f7dc5
- Size of remote file:
- 32.2 MB
- SHA256:
- 47146dd5dc2b00ea397101f982449ba5bdc122883320b33fc8f7152386c2367a
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