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:
- f866c55c56ef8a7c58e3de7c92967f2f63eb9d944b41917a642410dfb85c3f21
- Size of remote file:
- 16.6 MB
- SHA256:
- 0b78955bd8df879825b3bc70a5607bfb9db8549bd698fc7ff937f69dcb157bf6
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