Text Ranking
Transformers
Safetensors
English
Portuguese
llama
text-generation
classification
tinyllama
rag
rerank
text-embeddings-inference
Instructions to use cnmoro/TinyLlama-ContextQuestionPair-Classifier-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cnmoro/TinyLlama-ContextQuestionPair-Classifier-Reranker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cnmoro/TinyLlama-ContextQuestionPair-Classifier-Reranker") model = AutoModelForCausalLM.from_pretrained("cnmoro/TinyLlama-ContextQuestionPair-Classifier-Reranker") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` (#1)
Browse files- Update model metadata to set pipeline tag to the new `text-ranking` (4ff465e7f32998da3c1037c75c417e73fe78d579)
Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>