Instructions to use srmishra/crossencoder-marco-MiniLM-L-6-v2-refine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srmishra/crossencoder-marco-MiniLM-L-6-v2-refine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="srmishra/crossencoder-marco-MiniLM-L-6-v2-refine")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("srmishra/crossencoder-marco-MiniLM-L-6-v2-refine") model = AutoModelForSequenceClassification.from_pretrained("srmishra/crossencoder-marco-MiniLM-L-6-v2-refine") - Notebooks
- Google Colab
- Kaggle