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_merged_quantized.onnx from hf-internal-testing/tiny-random-nllb: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_merged_quantized.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-nllb@refs/pr/1/onnx/decoder_model_merged_quantized.onnx
-
curl -L -o decoder_model_merged_quantized.onnx https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_merged_quantized.onnx
2.37 MB
- Xet hash:
- f0a023a353e531983b3e6d0665784b3bb6b5dc17b0d88a91567ff2b0a682edc0
- Size of remote file:
- 2.37 MB
- SHA256:
- e0a0a4bcba22a589c6d81e05ed82f5a43f05cb0044a6b79dc4c625a0f2ea4e5c
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