Instructions to use google/bert_uncased_L-4_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-4_H-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-4_H-256_A-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e1c4d1c3032c19c2cac2aedcb534d93dcf17fe32b5707bda4d20beb2699e936
- Size of remote file:
- 44.7 MB
- SHA256:
- 06d158b4f8aa247eda35a2ae0c44001515e1ddae017ea9592256935de0de4775
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