Instructions to use google/bert_uncased_L-8_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-8_H-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-8_H-256_A-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb0ea30e4845c7007f0dda84c97aa95a92ad9197ad0b0f8ba1b3c86857b1f773
- Size of remote file:
- 57.7 MB
- SHA256:
- ea6b153cc5310ac3c59193dc30048a941533d96a86320579a6d5a9f2d0fd05b4
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