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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aba17aa6cd7728b67d13c2f9d9b36d4a5a7508da999d6ed2d78686bb9d6627d
- Size of remote file:
- 89.8 MB
- SHA256:
- d41d7b23e49ca487465e2f40fe747007af5103326a6a1c87a333498258d18bad
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