Instructions to use EthanChen0418/intent_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthanChen0418/intent_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EthanChen0418/intent_cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EthanChen0418/intent_cls") model = AutoModelForSequenceClassification.from_pretrained("EthanChen0418/intent_cls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f5129effa1ee136adf364c9fe12291951c81693a4f5e0faaf33e54f498c7ca4
- Size of remote file:
- 433 MB
- SHA256:
- dc7a261a758c3191244373d7aa4a677594eb91577f2a4736b0ede35f7ee71b4e
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