Instructions to use seegs2248/intent_asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seegs2248/intent_asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seegs2248/intent_asr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seegs2248/intent_asr") model = AutoModelForSequenceClassification.from_pretrained("seegs2248/intent_asr") - Notebooks
- Google Colab
- Kaggle
This is the model used for knowledge cluster classification for the DSTC10 track2 knowledge selection task, trained with double heads, i.e., classifier head and LM head
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