Instructions to use djovak/reranker-MiniLM-L6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djovak/reranker-MiniLM-L6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="djovak/reranker-MiniLM-L6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("djovak/reranker-MiniLM-L6") model = AutoModelForSequenceClassification.from_pretrained("djovak/reranker-MiniLM-L6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
79a3e91 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:144bcb949ccfec5057b52c22efc90e510460de49adb7e6715fa59e3b66def724
size 90888369
|