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:
- d26a3e871911242e68cea637a9b19055d2dec8b29a82d8781f734f4e8a891091
- Size of remote file:
- 441 MB
- SHA256:
- 466a60fc4ca7633159f0ae8748c17ea6e1352b5b6c869373f1ff2e403da03c72
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