Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_1
multiberts-seed_1-step_800k
Instructions to use google/multiberts-seed_1-step_800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_1-step_800k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_1-step_800k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_1-step_800k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from google/multiberts-seed_1-step_800k: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/google/multiberts-seed_1-step_800k/resolve/main/tf_model.h5
- Command line
-
hf download hf://google/multiberts-seed_1-step_800k/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/google/multiberts-seed_1-step_800k/resolve/main/tf_model.h5
536 MB
- Xet hash:
- c2036335500a408857e4ac1a6b03fcd44b732c3db04972cb64305ecb58e8b976
- Size of remote file:
- 536 MB
- SHA256:
- a340a16cee01ce771b6d784233480135510898645044681b825b8b35e267e547
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