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:
- 0d0e90b9a8dc0bcb6346ed665a0755d4f3f6de8fb63464f16f7133a803a8154d
- Size of remote file:
- 16.6 MB
- SHA256:
- 33a3be6a86b6d7063f9390accb503540d4d70dfd71d72a6de771da147e3fdfb0
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