Instructions to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d6b7007cd2c27c0af9405d6b71b6a1bdd13a497d5327ea3258df53cc9f6e37e
- Size of remote file:
- 16.6 MB
- SHA256:
- 11fd8b578c73ba258b38cd48c53b99ea6d331aed2def1ae6e49e6234200d4ae0
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