Text Classification
Transformers
ONNX
PEFT
English
cross-encoder
reranker
thread-matching
conversational-ai
lora
Eval Results (legacy)
Instructions to use Algokruti/thread-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Algokruti/thread-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Algokruti/thread-reranker")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Algokruti/thread-reranker", dtype="auto") - PEFT
How to use Algokruti/thread-reranker with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73836999bebfc4fabfafe6bfa8c3987ef26445922115d77e867ca76388468672
- Size of remote file:
- 1.11 MB
- SHA256:
- 62fda2ec327e08a5bd589257f78eafd26cb8ec2ae91843ac283c95e7724d4aa3
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