Instructions to use EmnaBou/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmnaBou/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EmnaBou/results")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EmnaBou/results") model = AutoModelForTokenClassification.from_pretrained("EmnaBou/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f828bfc1d776796e54cb159193f9393c62c06de23dee5e7b602c49d7146b436
- Size of remote file:
- 3.38 kB
- SHA256:
- 6bf898fe1feba7b48e884c9e3cdbbbb25f5e28d9c259db82c698192ddc3bf1ce
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