Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use buelfhood/irplag_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppn_loss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buelfhood/irplag_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppn_loss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="buelfhood/irplag_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppn_loss")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buelfhood/irplag_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppn_loss") model = AutoModelForSequenceClassification.from_pretrained("buelfhood/irplag_graphcodebert_ep30_bs16_lr2e-05_l512_s42_ppn_loss") - Notebooks
- Google Colab
- Kaggle
Ctrl+K