Instructions to use ronit33/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronit33/intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronit33/intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronit33/intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("ronit33/intent-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ronit33/intent-classifier: direct link, hf CLI and curl.
- Browser
- Download file 346 Bytes
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https://huggingface.co/ronit33/intent-classifier/resolve/main/README.md
- Command line
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hf download hf://ronit33/intent-classifier/README.md
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curl -L -o README.md https://huggingface.co/ronit33/intent-classifier/resolve/main/README.md
346 Bytes
metadata
metrics:
- accuracy
datasets: