Instructions to use kumakur/intentclassificationcommand-modernbert-ja-130m-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumakur/intentclassificationcommand-modernbert-ja-130m-sft with Transformers:
# Load model directly from transformers import AutoTokenizer, ModernBertForIntentClassificationCommand tokenizer = AutoTokenizer.from_pretrained("kumakur/intentclassificationcommand-modernbert-ja-130m-sft") model = ModernBertForIntentClassificationCommand.from_pretrained("kumakur/intentclassificationcommand-modernbert-ja-130m-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 729f4b16b24503bb73c26083537538159ba3b17dbe0d2abace9b7e15b166d281
- Size of remote file:
- 1.83 MB
- SHA256:
- 008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
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