Instructions to use answerdotai/ModernBERT-Large-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-Large-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-Large-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-Large-Instruct") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-Large-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c23f8df6cb919d95abcc3df74d0257b0ca76861d5ceb11f31e6d13ffaaa8e2af
- Size of remote file:
- 792 MB
- SHA256:
- 44bc97cad63c1e4fcfc6ba0f63df443bcef4c37f2f3c04609cf8ae3cbe8962f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.