Instructions to use Neurona/cpener-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neurona/cpener-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Neurona/cpener-test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Neurona/cpener-test") model = AutoModelForTokenClassification.from_pretrained("Neurona/cpener-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edf993c41f7a44ad12f241bd79db4e9781a7891bfc6f49a0ba38bed24fe58c2d
- Size of remote file:
- 266 MB
- SHA256:
- 34e23cbeecf9a7152a0d591c471d92fe1a6b99f4f0e1adadde2b90105c22a11d
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