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")# 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
- Xet hash:
- b751e633687471be9c31179122c179463362abd89f2eb0e4a5907af08c2c5b44
- Size of remote file:
- 499 MB
- SHA256:
- 7df7d55a6e3b926e7a7201f7578b0d9ab7c60ddd004227409bf568414725bd16
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