Instructions to use optimum/tiny_random_bert_neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/tiny_random_bert_neuronx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum/tiny_random_bert_neuronx")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum/tiny_random_bert_neuronx") model = AutoModel.from_pretrained("optimum/tiny_random_bert_neuronx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00f52762de6f498241a3d7733ba659f90848797f6e22bf8ef64efc757348ffce
- Size of remote file:
- 2.97 MB
- SHA256:
- b5b82a261ffafadf9acee949d3e5b354544ba8c6e4a5466893f05c96ea64cbbe
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