Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1000k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1000k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efafea327ac07b74daa325666b7d82764370a5e84607a42b814dd3328a2ab7d8
- Size of remote file:
- 441 MB
- SHA256:
- 17b98d959375c7e6de9b0348d36dc9a4702568883de1f9babb1d58935a13287b
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