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:
- 37dbed837af9a00d8d6517e96eee36e8c6094d23ace7d127262bfdcfd254ce10
- Size of remote file:
- 218 MB
- SHA256:
- 7814510559de60908d3a29ffb86967017bd580176d43859da9624f07404171a4
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