Text Classification
Transformers
PyTorch
English
llama
reranking
information-retrieval
pointwise
binary-cross-entropy
efficient
text-embeddings-inference
Instructions to use abdoelsayed/dear-3b-reranker-ce-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdoelsayed/dear-3b-reranker-ce-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdoelsayed/dear-3b-reranker-ce-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdoelsayed/dear-3b-reranker-ce-v1") model = AutoModelForSequenceClassification.from_pretrained("abdoelsayed/dear-3b-reranker-ce-v1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 7 months ago
by
SFconvertbot