Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_500k
Instructions to use google/multiberts-seed_4-step_500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_500k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_500k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/multiberts-seed_4-step_500k: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/google/multiberts-seed_4-step_500k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/multiberts-seed_4-step_500k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/multiberts-seed_4-step_500k/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- 521fdcd3619f6172cdc676d6c9893cff3057f03225fcf47311d2ebc74e55946c
- Size of remote file:
- 441 MB
- SHA256:
- 9d987b5dc992cae1d8d840f28b510b28b396e579c0f583ae13a9318ac9f76abd
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