Instructions to use hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778dd76ad1d84c66001d1762ebda2a3231792180f84bf32143116fede2207112
- Size of remote file:
- 16.6 MB
- SHA256:
- 03ff20b01bcd7add8d492e5e16ed8f68d2af0e6e2edd0a9733e1e598ff94eea7
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