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_uint8.onnx from hf-internal-testing/tiny-random-nllb: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_uint8.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-nllb@refs/pr/1/onnx/decoder_model_uint8.onnx
-
curl -L -o decoder_model_uint8.onnx https://huggingface.co/hf-internal-testing/tiny-random-nllb/resolve/refs%2Fpr%2F1/onnx/decoder_model_uint8.onnx
2.23 MB
- Xet hash:
- b4027cfb842762bf652f04cf97ccd07ebec9d9540044e73cf5cb9a3e211e10df
- Size of remote file:
- 2.23 MB
- SHA256:
- a48b2353956ede0030c8bec733d69b36edc113cfdc3572f9baaf739c7897e66f
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