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/4ea512f3e188efe31e0169d9bc73871bdaabc366/model.neuron
- Command line
-
hf download hf://optimum-internal-testing/tiny_random_bert_neuronx@4ea512f3e188efe31e0169d9bc73871bdaabc366/model.neuron
-
curl -L -o model.neuron https://huggingface.co/optimum-internal-testing/tiny_random_bert_neuronx/resolve/4ea512f3e188efe31e0169d9bc73871bdaabc366/model.neuron
355 kB
- Xet hash:
- 91602896786f779e642c84866e3c9a5d681f3a4f188c1ed8807cb2ca8a4f02f1
- Size of remote file:
- 355 kB
- SHA256:
- b8fcfa9efb188106483c8d696b57d0a21ff7fdb173c58e134b2ebbe51550f5ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.