Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-300k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-300k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b99de1fdf73abd3a0c1e2eb73b5d73a12536f467bd0088711cb262d977d9231
- Size of remote file:
- 441 MB
- SHA256:
- 0a993d804f755825b33f228b5ea65929d28dab929f783adccfd49047e68ca9b2
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