Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use buelfhood/progpedia19_codeberta_ep30_bs16_lr3e-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/progpedia19_codeberta_ep30_bs16_lr3e-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/progpedia19_codeberta_ep30_bs16_lr3e-05_l512_s42_ppn_loss")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buelfhood/progpedia19_codeberta_ep30_bs16_lr3e-05_l512_s42_ppn_loss") model = AutoModelForSequenceClassification.from_pretrained("buelfhood/progpedia19_codeberta_ep30_bs16_lr3e-05_l512_s42_ppn_loss", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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