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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update model metadata to set pipeline tag to the new `text-ranking`
Verified signatureHello! ## Pull Request overview * Update metadata to set pipeline tag to the new `text-ranking` ## Changes This is an automated pull request to update the metadata of the model card. We recently introduced the [`text-ranking`](https://huggingface.co/models?pipeline_tag=text-ranking) pipeline tag for models that are used for ranking tasks, and we have a suspicion that this model is one of them. Feel free to respond if you have questions or concerns. - Tom Aarsen4ff465e
-
Update README.md
Verified signature85551b5
-
Update README.md
Verified signature3bf7a23 -
Update README.md
Verified signature35de02b -
Update README.md
Verified signatured6ac3ed -
Create README.md
Verified signature76773af -
Upload 7 files
Verified signature6949500 -
initial commit
Verified signature9019918