Instructions to use HoaAn2003/intent_classification_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoaAn2003/intent_classification_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HoaAn2003/intent_classification_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HoaAn2003/intent_classification_distilbert") model = AutoModelForSequenceClassification.from_pretrained("HoaAn2003/intent_classification_distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50532b3524801b4d648a63a2e7e76a5c84613015c4e4f670535c9f718fb90ab8
- Size of remote file:
- 4.92 kB
- SHA256:
- 501bb6c47da06cda01901adefc91b668e0102be0d29058b8bcc4f7df30a26476
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