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
File size: 79 Bytes
ef79e5e | 1 2 3 4 5 6 | {
"0": "commissive",
"1": "directive",
"2": "inform",
"3": "question"
} |