Instructions to use kumapo/modernbert-ja-310m-jsquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumapo/modernbert-ja-310m-jsquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kumapo/modernbert-ja-310m-jsquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kumapo/modernbert-ja-310m-jsquad") model = AutoModelForQuestionAnswering.from_pretrained("kumapo/modernbert-ja-310m-jsquad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cabe8fc521da5ac98fc8ea4791416e16d1ce9e5678cf8e3c5a97142821a87fe8
- Size of remote file:
- 5.71 kB
- SHA256:
- bc5128ecc3140315ba84032188042b886b7fc23bff7da40e11d81da4073f02fe
路
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