Instructions to use sbintuitions/modernbert-ja-310m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sbintuitions/modernbert-ja-310m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sbintuitions/modernbert-ja-310m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sbintuitions/modernbert-ja-310m") model = AutoModelForMaskedLM.from_pretrained("sbintuitions/modernbert-ja-310m") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3044ecd67084361dd6065dc38c9a551f7e380e66e58ffcb4eba0c617a3ae4ca
- Size of remote file:
- 1.26 GB
- SHA256:
- 96e31693fe9bc8b2900e47ddbf7a389e940bb20b165b44e182a490ff71fb17d3
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