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:
- f989a02d599a5944424eb8bb2879522065cc05990737a5fe5905e36c67fb11f5
- Size of remote file:
- 5.05 kB
- SHA256:
- 83ec6a5454a59b8bf5d052d8c5fbefa7325781921d2a193d487fab56b8de2f5b
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