Instructions to use thanaphatt1/ModernBERT-base-esconv-strategy-classification-multiturn-upsampling-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanaphatt1/ModernBERT-base-esconv-strategy-classification-multiturn-upsampling-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanaphatt1/ModernBERT-base-esconv-strategy-classification-multiturn-upsampling-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanaphatt1/ModernBERT-base-esconv-strategy-classification-multiturn-upsampling-v3") model = AutoModelForSequenceClassification.from_pretrained("thanaphatt1/ModernBERT-base-esconv-strategy-classification-multiturn-upsampling-v3") - Notebooks
- Google Colab
- Kaggle