Instructions to use answerdotai/ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de75912ef5bc46a272ede8c51c9b9a53ce6f16c85f4152376dbaed73ca42a9b1
- Size of remote file:
- 599 MB
- SHA256:
- 9a3b4d34f2367ab3024859dfd744bc898792ec54c577408f78d1f5e44d2cf412
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