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:
- aedb58bb0c0ad674e77f4ceec060ae212bfefc127f5c6d4a9f94ead4983d085d
- Size of remote file:
- 180 kB
- SHA256:
- c9651469531e20f94fb06a56553444b7ae82022c288f5a2ae39499410231f143
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