Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-200k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-200k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-200k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e75ff7cf554def514a92467c4e1e21efb311e4f69ba98955a8e4f50f25f7c5f
- Size of remote file:
- 441 MB
- SHA256:
- 7a7f6debe565e357a659b8a78bfb24c47cc8b0a0aa889ae237162587dc9c65e6
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