Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-300k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-300k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-300k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9bccd2ae467d7f03fc31e4b2c17125ba350bf6adb0399d30f18962e616a0801
- Size of remote file:
- 441 MB
- SHA256:
- dc1d19ee1de8f9192fb0fb043dcbf643b721db62ecb9e46184241225beb1e65b
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