Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-100k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-100k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-100k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e36bd40b8104d3ea374f70957cda6a235202e98d0125caf7560ffe557818ba53
- Size of remote file:
- 441 MB
- SHA256:
- ed79111b859c0a89e405f21dbd3aac959dde5364316ab58ccf9a23adc3ce26c1
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