Instructions to use buddhist-nlp/nllb-1B-tib2eng-june23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhist-nlp/nllb-1B-tib2eng-june23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("buddhist-nlp/nllb-1B-tib2eng-june23") model = AutoModelForMultimodalLM.from_pretrained("buddhist-nlp/nllb-1B-tib2eng-june23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3457b335b6e525a3553bb368ea4c780050d444c69b62390faae2b9282b03ca3d
- Size of remote file:
- 5.49 GB
- SHA256:
- 66a48bc3300ede9862a0a3a33ee14887322fb7f395feb8a5e309fe541e6befc7
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