Instructions to use orisuchy/Descriptive_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orisuchy/Descriptive_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orisuchy/Descriptive_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orisuchy/Descriptive_Classifier") model = AutoModelForSequenceClassification.from_pretrained("orisuchy/Descriptive_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from orisuchy/Descriptive_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
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https://huggingface.co/orisuchy/Descriptive_Classifier/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://orisuchy/Descriptive_Classifier@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/orisuchy/Descriptive_Classifier/resolve/refs%2Fpr%2F1/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.