Instructions to use google/bert_uncased_L-8_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-8_H-512_A-8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-8_H-512_A-8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f55c48f955610843b340d8001dc79cdfe4689fe9b33bd63bc8936ed761018a58
- Size of remote file:
- 167 MB
- SHA256:
- b080a13c8bfa71acab7ade0384edf8cbbc555328cda87276345a1ec7b2141307
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