Instructions to use MultiBertGunjanPatrick/multiberts-seed-3-700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-3-700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-700k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-700k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04d3340851706bc341e103aa626e51602221bd719ecb93e6251ee408c4b500dc
- Size of remote file:
- 441 MB
- SHA256:
- 6c87df2e7b8dd7ecbba75a2de2bf2f7a48c55d20bfc2b71ef22fff8057407a57
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