Instructions to use google/multiberts-seed_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_8") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 990552793ec2fc30d40c321222e81c862ebcd8da83d64a916247e92f03cf79d7
- Size of remote file:
- 441 MB
- SHA256:
- ac91ba774d726ec1882b8bc6158913522767b043dd4b476508400ac5afce0aa1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.