Text Classification
Transformers
PyTorch
English
llama
reranking
information-retrieval
pointwise
binary-cross-entropy
text-embeddings-inference
Instructions to use abdoelsayed/dear-8b-reranker-ce-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdoelsayed/dear-8b-reranker-ce-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdoelsayed/dear-8b-reranker-ce-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdoelsayed/dear-8b-reranker-ce-v1") model = AutoModelForSequenceClassification.from_pretrained("abdoelsayed/dear-8b-reranker-ce-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from abdoelsayed/dear-8b-reranker-ce-v1: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/abdoelsayed/dear-8b-reranker-ce-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://abdoelsayed/dear-8b-reranker-ce-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/abdoelsayed/dear-8b-reranker-ce-v1/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 2e56cad9ac2a38f4b7de211953881b613c19e51838c05adf8f7984c139c2e8f5
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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