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/eef4ebaa809f28489ba374f519e1b5ccbfbf4e80/model.neuron
- Command line
-
hf download hf://optimum-internal-testing/tiny_random_bert_neuronx@eef4ebaa809f28489ba374f519e1b5ccbfbf4e80/model.neuron
-
curl -L -o model.neuron https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/eef4ebaa809f28489ba374f519e1b5ccbfbf4e80/model.neuron
355 kB
- Xet hash:
- e01006bacc9de9393a152721dd7d090dfc7cb65ba6d1b936d9554af6e847cd02
- Size of remote file:
- 355 kB
- SHA256:
- c187a76bb84baafe2cd06d6bbd40d2ebc76c41920a5df14843e9300190c7e0fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.