Instructions to use google/bert_uncased_L-8_H-128_A-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-8_H-128_A-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-8_H-128_A-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ba3aedb131bcdeae818bb16c834725004b4703cc3c43dbbb1b76e3ad4ed7aca
- Size of remote file:
- 22.3 MB
- SHA256:
- 3cafe3f17ab7e2823977d9ffe16e71e44e8b04a7386f08e8612fd89267a1eedc
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