Instructions to use optimum-internal-testing/tiny_random_bert_neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-internal-testing/tiny_random_bert_neuronx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum-internal-testing/tiny_random_bert_neuronx")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum-internal-testing/tiny_random_bert_neuronx") model = AutoModel.from_pretrained("optimum-internal-testing/tiny_random_bert_neuronx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.neuron from optimum-internal-testing/tiny_random_bert_neuronx: direct link, hf CLI and curl.
- Browser
- Download file 434 kB
-
https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/main/model.neuron
- Command line
-
hf download hf://optimum-internal-testing/tiny_random_bert_neuronx/model.neuron
-
curl -L -o model.neuron https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/main/model.neuron
434 kB
- Xet hash:
- 7d0d9b2877fde4e6eb9115d93a2eccdcfd34e452d384236b69e32080a0219761
- Size of remote file:
- 434 kB
- SHA256:
- 7b16c08cb49da1cdfd09af29e3d0d956a1d5bebe157fca57cc34d6303ceb70c3
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