Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1500k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1500k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5d83b087e988ae164503a608eb364aa5891a6322aff96b9ec25a3a20c2e58c4
- Size of remote file:
- 441 MB
- SHA256:
- 6eb3f0bddc87e0c0bfa06fd857e83f32825fe13fd4debdfc87b255f08c5cb05b
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