Instructions to use google/multiberts-seed_22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_22") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 299fdc2ec1f68dfdda1510d143f4ef11f15c36346503496286c6e195abf73f61
- Size of remote file:
- 441 MB
- SHA256:
- 64b033c2ebd1614238c0f666ed6379a6cf7da24c483c117fb7e2e5a5ef4d408f
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