Text Ranking
Transformers
Safetensors
English
qwen2
text-generation
reranker
retrieval
text-embeddings-inference
Instructions to use jhu-clsp/rank1-14b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/rank1-14b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/rank1-14b") model = AutoModelForCausalLM.from_pretrained("jhu-clsp/rank1-14b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve language tag
#2
by lbourdois - opened
Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
Thanks so much @lbourdois !
Can you clarify what you mean about 29 vs 13 languages? I am a bit confused, sorry.