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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 122c76fd86d53b03e730ab8f1a71633601b1a4121ef1731e5ce7d0b237737963
- Size of remote file:
- 1.11 GB
- SHA256:
- 689f12583ea58c5956fb80abae2b05c7bbfdf2e2ec0341cf1425417cfe0b799d
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