Instructions to use answerdotai/ModernBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-large") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8af93ee5dfa2b6b020564a1d96e962aa04a44f23aacb891ce1823ff2906e9ffa
- Size of remote file:
- 1.58 GB
- SHA256:
- fabb014a0b62d28ec5f2de530d2ade920b9293f170a4ec38acfa1b8096531adc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.