Instructions to use KhimNguyen/ranker_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KhimNguyen/ranker_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KhimNguyen/ranker_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KhimNguyen/ranker_model") model = AutoModelForSequenceClassification.from_pretrained("KhimNguyen/ranker_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signatureede1d24 -
Upload RobertaForSequenceClassification
Verified signature4d1bd64 -
initial commit
Verified signature2646472