Instructions to use mbazaNLP/NLLB-Education with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbazaNLP/NLLB-Education with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mbazaNLP/NLLB-Education") model = AutoModelForSeq2SeqLM.from_pretrained("mbazaNLP/NLLB-Education") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ecfea05f717672c55c0da2afd3eb28dbfbf1e2a14011c4aed846ab6ecba1357
- Size of remote file:
- 11 GB
- SHA256:
- 1298a741392fbbcee6e6b479e682e7d26eb65370d03e91f9654e457c21568434
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