Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-40k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-40k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-40k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-40k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f25397d47bae86de9aa56d8d6b025d1f40b6822b03b3dec7bbe9c202d8b630d4
- Size of remote file:
- 441 MB
- SHA256:
- 7b3f13de3af4a433f5c5113574f6f7cf5eaf7350cfe78afcb9dd40418d8b4eff
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