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
Improve model card: fix paper link and TIL Blog Post link, set pipeline tag to text-generation, add Github link
#2
by nielsr HF Staff - opened
This PR improves the model card by:
- Fixing the empty paper link, so that it points to It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers.
- Fixing the empty TIL Blog Post link, as the URL was missing
- Setting the
pipeline_tagtotext-generationinstead offill-mask - Adding a link to the Github repository, for the mini cookbook.