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/99ed389d82146dcd6996464ffd765291663d1f65/model.neuron
- Command line
-
hf download hf://optimum-internal-testing/tiny_random_bert_neuronx@99ed389d82146dcd6996464ffd765291663d1f65/model.neuron
-
curl -L -o model.neuron https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/99ed389d82146dcd6996464ffd765291663d1f65/model.neuron
355 kB
- Xet hash:
- 440ce4e3fe8e97386066f5b4da4421b78c532efdeff318ecd6777116528e6a55
- Size of remote file:
- 355 kB
- SHA256:
- 835dbf2e222dc21bd0aa4e81a334d2c6545f377b8105c5c726d422b202dc3167
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.