Instructions to use kumakur/intentclassificationcommand-llm-jp-modernbert-base-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumakur/intentclassificationcommand-llm-jp-modernbert-base-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, ModernBertForIntentClassificationCommand tokenizer = AutoTokenizer.from_pretrained("kumakur/intentclassificationcommand-llm-jp-modernbert-base-sft") model = ModernBertForIntentClassificationCommand.from_pretrained("kumakur/intentclassificationcommand-llm-jp-modernbert-base-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload ModernBertForIntentClassificationCommand
Verified signatured7d5827 -
Upload ModernBertForIntentClassificationCommand
Verified signatured4ab3df -
Upload ModernBertForIntentClassificationCommand
Verified signature4181226 -
Upload ModernBertForIntentClassificationCommand
Verified signaturead7152d
-
Upload ModernBertForIntentClassificationCommand
Verified signature077ee77 -
Upload ModernBertForIntentClassificationCommand
Verified signature7cf5156 -
Upload ModernBertForIntentClassificationCommand
Verified signature1ac4934 -
Upload tokenizer
Verified signaturedcbeca9 -
Upload ModernBertForIntentClassificationCommand
Verified signatured9a846d -
initial commit
Verified signaturedb3df15