Instructions to use hf-internal-testing/tiny-random-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-nllb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model_fp16.onnx from hf-internal-testing/tiny-random-nllb: direct link, hf CLI and curl.
- Browser
- Download file 4.26 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_fp16.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-nllb@refs/pr/1/onnx/decoder_model_fp16.onnx
-
curl -L -o decoder_model_fp16.onnx https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_fp16.onnx
4.26 MB
- Xet hash:
- 55bc5c8a8ee1433379e19be8240184dae3657e8f654a9d12d229179e2f5f3f64
- Size of remote file:
- 4.26 MB
- SHA256:
- 496759ce4d6c82570e1e356d5c40d7b9799f284551ab75f64c9d9eae6d128023
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