Instructions to use google/multiberts-seed_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_16") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0fa902f20117a6ad21938fcaafdcb18e6dfc643c42a090f2c9b2f301099ff30
- Size of remote file:
- 441 MB
- SHA256:
- 064b955ea55effd79d9e795d3c36f5e5e846a988ef8916032b2de40d640db7bd
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