Instructions to use MultiBertGunjanPatrick/multiberts-seed-3-1500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-3-1500k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-1500k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-1500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae6b0c9aba2b2c94c41c7975690d4a0bc54eaa16ba9febacf54935175511c453
- Size of remote file:
- 441 MB
- SHA256:
- 5f2942023d6065cdbb8401ff25cc87c5f47e181ae4c7a18b68185a50abebc656
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