Instructions to use MultiBertGunjanPatrick/multiberts-seed-3-20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-3-20k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-20k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-20k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d73d52b19fa35d236c12fc1496d8ba14fceed145cba171e97aac44ea9f0b3b7
- Size of remote file:
- 441 MB
- SHA256:
- 28f408dfdd81892ce435afaf33045f74375b089509220ae2ecf07b2f199bf68c
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