Instructions to use language-ml-lab/classification-azb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/classification-azb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="language-ml-lab/classification-azb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/classification-azb") model = AutoModelForSequenceClassification.from_pretrained("language-ml-lab/classification-azb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5ecb0747e6c66379af281e6d92e351254b6060b375eb7ee152cbf61e05cb0c8
- Size of remote file:
- 374 MB
- SHA256:
- 6fdc5c5a6bd971de7eacb3f8512734161e150c44ef6e2c1553654b8be443cc66
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