Text Classification
Transformers
Safetensors
Japanese
shiori_bert
bert
japanese
dialogue
topic-segmentation
event-segmentation
knowledge-distillation
conversation
discourse
custom_code
Instructions to use melon1891/shiori-bert-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melon1891/shiori-bert-jp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="melon1891/shiori-bert-jp", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("melon1891/shiori-bert-jp", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
4 days ago
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v2: transformers-loadable (trust_remote_code), bundled tokenizer, README search metadata
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5 days ago
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Update README.md
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Update README.md
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Initial release of shiori-bert-jp
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initial commit
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