Instructions to use eskayML/interview_electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eskayML/interview_electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eskayML/interview_electra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eskayML/interview_electra") model = AutoModelForSequenceClassification.from_pretrained("eskayML/interview_electra") - Notebooks
- Google Colab
- Kaggle
eskayML/electra_interview_new
Browse files
runs/Oct12_22-09-37_88fb077b9c52/events.out.tfevents.1728770978.88fb077b9c52.742.1
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