Instructions to use alothomas/deberta-rad-verifier-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alothomas/deberta-rad-verifier-context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alothomas/deberta-rad-verifier-context")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alothomas/deberta-rad-verifier-context") model = AutoModelForSequenceClassification.from_pretrained("alothomas/deberta-rad-verifier-context") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68d0e603bfb806de64d7ad6099c502dcca6699675061edb66d8fa90820cd8769
- Size of remote file:
- 738 MB
- SHA256:
- 05bbd49545ddd5125c1b1af720726f9894febc5f5a572dc3fad352c520dd90df
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