Instructions to use google/bert_uncased_L-4_H-512_A-8 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-512_A-8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-4_H-512_A-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79dd7504001a46d69fc965bc71a8ec7619ecb6d6e655d6a8c3bfaf268d8f2fb2
- Size of remote file:
- 116 MB
- SHA256:
- a8c37082c47a788354dffd42a26fd83f81bde8bb3010b68b30b4d9506e3b7c28
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