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 355 kB
-
https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/bab11e9666809f3aa1bcffd64f8df60bd095df2c/model.neuron
- Command line
-
hf download hf://optimum-internal-testing/tiny_random_bert_neuronx@bab11e9666809f3aa1bcffd64f8df60bd095df2c/model.neuron
-
curl -L -o model.neuron https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/bab11e9666809f3aa1bcffd64f8df60bd095df2c/model.neuron
355 kB
- Xet hash:
- 3fef8a8b45c588f2fd58d96b6f63ef98c29b51a5ad351cdce18583a9f1c3fb3c
- Size of remote file:
- 355 kB
- SHA256:
- 4e0064be6372b8fcca17d25e8876e6bfd7499c0d25e0288886e6af20c384f1e9
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