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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9455ecb6b45ff710869bee93d06224c579723781b5e3273d11fa7218b06c0f30
- Size of remote file:
- 424 kB
- SHA256:
- 2e558acdea6e3f1cd7b9dc8a486a8b39812c6e5457edca13f7e1439614ebc256
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