Instructions to use google/bert_uncased_L-2_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-2_H-512_A-8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-2_H-512_A-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0da681761497714d0536b0f1ce912bae34f6d5f11373a5046111f6379dad5892
- Size of remote file:
- 91 MB
- SHA256:
- ee462d16c63444ad6d2e37b37f64124923f428f724c561207f206351d0fad561
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