Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AshwinKM2005/github-duplicates-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AshwinKM2005/github-duplicates-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AshwinKM2005/github-duplicates-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AshwinKM2005/github-duplicates-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("AshwinKM2005/github-duplicates-cross-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85235e0b5e01d7f58c8a3e7ebe19748a19e7089ae591aec9c7fa9021a35b66a1
- Size of remote file:
- 369 MB
- SHA256:
- 1f7d4f723e513b40a1a2c807427de06cf5ab0f137b666cfc4efc64ba65216a24
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