Instructions to use google/bert_uncased_L-4_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-4_H-128_A-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-4_H-128_A-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2124569cdbf35e0711aa2c2039cf96ecb5e0f290eb0d6c99acb0da10b5e8368
- Size of remote file:
- 19.1 MB
- SHA256:
- 6991cb31e06f65bcf62e33e888b539f7294ecb6a3c07322a4ebdacc5910e112d
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