Instructions to use wanyu/R3-Intent-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanyu/R3-Intent-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wanyu/R3-Intent-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wanyu/R3-Intent-Classifier") model = AutoModelForSequenceClassification.from_pretrained("wanyu/R3-Intent-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
cd23303 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7df7d55a6e3b926e7a7201f7578b0d9ab7c60ddd004227409bf568414725bd16
size 498677421
|