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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 16.6 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F3/pytorch_model.bin
16.6 MB
- Xet hash:
- 7270bc07ffc68548780f637ba7491fa3a3d13abdfced5a9458109480e2c621ac
- Size of remote file:
- 16.6 MB
- SHA256:
- 294d8c4e754966e24a7de87e9faa339aa6dd6284f5c786e571b4cb5656598b96
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