Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_0
multiberts-seed_0-step_1200k
Instructions to use google/multiberts-seed_0-step_1200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_0-step_1200k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_0-step_1200k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_0-step_1200k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12425f6ebc0fcab8ed2fce16766f9c2dd5b0bd6532d79960e7ab40b5cc2a8a56
- Size of remote file:
- 441 MB
- SHA256:
- a5824ddac7038afed9e7a6f286ac7d48387e26aa678b526f831f07a0f683cdd2
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