Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1100k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1100k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8157428fff159a2a5dbae30231c9e8c472f1d658ca52705084042eeafa4da1fc
- Size of remote file:
- 441 MB
- SHA256:
- f791ddcddd5e577bcba0779f26e37f57dc9d75d1689ded3cf646dfb957594f57
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