Instructions to use MultiBertGunjanPatrick/multiberts-seed-2-120k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-2-120k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-120k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-120k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bb0990ccd89a0f5875087118d1b22687889e25b5214950e85fb6ccae4a13795
- Size of remote file:
- 441 MB
- SHA256:
- 856af6882034e065a380c2f5eac6244f54a530a3ce6b2c288e20aaa4c9367540
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