Instructions to use Hemg/Introduction-greeting-EN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/Introduction-greeting-EN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hemg/Introduction-greeting-EN")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hemg/Introduction-greeting-EN") model = AutoModelForSequenceClassification.from_pretrained("Hemg/Introduction-greeting-EN") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Intended uses & limitations
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## Model description
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label 0: Introduction and label 1: Greeting
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## Intended uses & limitations
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