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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Algokruti/thread-reranker", device_map="auto") - PEFT
How to use Algokruti/thread-reranker with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Algokruti/thread-reranker: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Algokruti/thread-reranker/resolve/main/tokenizer.json
- Command line
-
hf download hf://Algokruti/thread-reranker/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Algokruti/thread-reranker/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.