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:
- c2a84ef73860cb3fc0a666db7140657b8379c43f7289133a4772866241596721
- Size of remote file:
- 91.4 MB
- SHA256:
- 50c42fdfec34e400cd893e04487e531e0875c7d8f82ab1feb0a9838a48043888
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