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/encoder_model_quantized.onnx from hf-internal-testing/tiny-random-nllb: direct link, hf CLI and curl.
- Browser
- Download file 2.13 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-nllb@refs/pr/1/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/encoder_model_quantized.onnx
2.13 MB
- Xet hash:
- ed372e98c572dfc29500eed3a2dc43743c68a10c24aa9cd2d1b453a5ff3f3e65
- Size of remote file:
- 2.13 MB
- SHA256:
- 43809dd348fdc4fb5b8f333cc94a06248136bf384f4abf9dc7646523b1b38664
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