Text Classification
Transformers
Safetensors
Japanese
sokudan
japanese
system-one
calibrated-decisions
classification
routing
ordinal
model-soup
Instructions to use GeneLab/sokudan-ja-310m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneLab/sokudan-ja-310m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeneLab/sokudan-ja-310m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GeneLab/sokudan-ja-310m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from GeneLab/sokudan-ja-310m: direct link, hf CLI and curl.
- Browser
- Download file 6.72 MB
-
https://huggingface.co/GeneLab/sokudan-ja-310m/resolve/main/tokenizer.json
- Command line
-
hf download hf://GeneLab/sokudan-ja-310m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GeneLab/sokudan-ja-310m/resolve/main/tokenizer.json
6.72 MB
File too large to display, you can check the raw version instead.