Instructions to use tomlobato/prop_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomlobato/prop_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tomlobato/prop_class")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("tomlobato/prop_class") model = AutoModelForSequenceClassification.from_pretrained("tomlobato/prop_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload MarkupLMForSequenceClassification
Browse files- README.md +1 -1
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