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
seq2seq
#52
by khusrav13 - opened
Hello everyone, is it feasible to integrate modernBERT as the encoder within a seq2seq transformer architecture, or are there better-suited alternatives for this use case?
As I know, CodeBERT uses, how about ModernBERT?
https://github.com/microsoft/CodeBERT/blob/master/CodeBERT/code2nl/model.py
khusrav13 changed discussion status to closed