Instructions to use google/multiberts-seed_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_20") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 490cd393a235f38cde872d9bca145ae1379b225871954fbeee341acfb7ac522e
- Size of remote file:
- 441 MB
- SHA256:
- f19ed1f2dbf4c6e0aedc2c42e711cf916caff556d1f898d45196552e4d65d47c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.