Instructions to use google/bert_uncased_L-10_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-10_H-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-10_H-256_A-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b680001f5782c702994160e4a5fa857ebf31a39d40a47dd30ce8bc4c03917ed6
- Size of remote file:
- 63.6 MB
- SHA256:
- d0095980e8910369637111fe9bfd8bfe8e7a98b9643467cef7a9f474c892471e
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