Instructions to use google/bert_uncased_L-6_H-256_A-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-6_H-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-6_H-256_A-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 663d6ea02c7bf27cdc2b7e1bf27349a887797bcbbfbe01b40fb0fa376a96d349
- Size of remote file:
- 51 MB
- SHA256:
- ba836b0845e2c61e701817adec7418790ba9c5399ce8b348cebac2f89e4e1311
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