Instructions to use google/multiberts-seed_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_7 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_7") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 265789778276d7a7e140996c28e26b9f798a10cd4a53da1efa565a5969657bda
- Size of remote file:
- 536 MB
- SHA256:
- 64641305e937c3d6b6a55e05432875345d6aa7fdc7bf9038da64395b3fdda3b7
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