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:
- 15d71f34521f8cec411838f63641a56e2e8b38ac7acbebf47da0aa22549f1fe0
- Size of remote file:
- 151 MB
- SHA256:
- 755b789bfd7bc10fef02e043dbdc7456c864d0468c9b48055a5ed6f642ec13d1
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