Instructions to use MultiBertGunjanPatrick/multiberts-seed-4-200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-4-200k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-200k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-200k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d438423ea17e49cb3cdc3651d3c802d3f59b0f25e5c78a1f89386dd9ceeb54b2
- Size of remote file:
- 441 MB
- SHA256:
- 280b9f2cc0fb6624f607be9f8d0938afd4a3e098fbec0aace5a41096e752731d
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