Text Classification
Transformers
PyTorch
Transformers
intent-classification
multi-class-classification
natural-language-understanding
Instructions to use qanastek/XLMRoberta-Alexa-Intents-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qanastek/XLMRoberta-Alexa-Intents-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qanastek/XLMRoberta-Alexa-Intents-Classification")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("qanastek/XLMRoberta-Alexa-Intents-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4897a34a6f2461aa3d1c507619df6f6376681f22bc02719f2ce4e0e3c7c79c2
- Size of remote file:
- 2.22 GB
- SHA256:
- d16417f86451f4d18c82da397927f5cc3b175046f0ced407e50c88eef63194c4
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