Text Classification
Transformers
Safetensors
English
German
Russian
distilbert
dialogue-act-classification
multilingual
conversational-ai
asr
text-embeddings-inference
Instructions to use WSHAPER/distilbert-multilingual-dialogue-act-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WSHAPER/distilbert-multilingual-dialogue-act-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WSHAPER/distilbert-multilingual-dialogue-act-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WSHAPER/distilbert-multilingual-dialogue-act-classifier") model = AutoModelForSequenceClassification.from_pretrained("WSHAPER/distilbert-multilingual-dialogue-act-classifier") - Notebooks
- Google Colab
- Kaggle
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