Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-0k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-0k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-0k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-0k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d66d60501291f7f33f9b6fcbfbc83684e7970fd82a29ea41d3f6afa4199332be
- Size of remote file:
- 441 MB
- SHA256:
- 6af3d8ce433ec535a06d36c6351850ef9a9c6c2569bfb41c582551006b71f260
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