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", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("qanastek/XLMRoberta-Alexa-Intents-Classification", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Subset used for training
#1
by JJCho - opened
Thanks for sharing this model!
I have two quick questions as below. It would be very appreciated if you could answer:
- Was the model trained from scratch or fine-tuned?
- Just wanted to confirm that if the model was trained w/ the train split only while evaluated on the test split?
Sincerely,
Jaejin Cho