Instructions to use iknow-lab/azou with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iknow-lab/azou with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iknow-lab/azou")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iknow-lab/azou") model = AutoModelForSequenceClassification.from_pretrained("iknow-lab/azou") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 994477f69b750a7678957299feb31488b0ef65b26f6f0cdad3e19bdb08f579be
- Size of remote file:
- 1.35 GB
- SHA256:
- 499125f1ab1043b219d93ba5f1da47ae1ddf2381683fce757e3c015b13cd7a85
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