Instructions to use MarkusDressel/cord with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarkusDressel/cord with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MarkusDressel/cord")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("MarkusDressel/cord") model = AutoModelForTokenClassification.from_pretrained("MarkusDressel/cord", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f27b5b4648126cf30af7fd5ede2ae9211cd8a2464ee6c4e38c2631542d29708f
- Size of remote file:
- 802 MB
- SHA256:
- cd076461c9b54afbe23604520e53c590fc474d5fa200233ead8e80312859f433
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