Instructions to use MultiBertGunjanPatrick/multiberts-seed-4-2000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-4-2000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-2000k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-2000k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 083316bcb6545d3c138ee3ccbe84f45764798e79bd144bef0c87fbad7a408d22
- Size of remote file:
- 441 MB
- SHA256:
- 0c6bfafb59b0b88dd4c2474436c1fded429964774c46ce9bf63ad9987131e783
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