Instructions to use shogumbo/testing4-multilabel-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shogumbo/testing4-multilabel-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shogumbo/testing4-multilabel-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shogumbo/testing4-multilabel-classifier") model = AutoModelForSequenceClassification.from_pretrained("shogumbo/testing4-multilabel-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfbb2d754ae5c420e7f67bfda19726e138e0b61f3b53119f46d7ba0cc1200a78
- Size of remote file:
- 438 MB
- SHA256:
- 1fc314e81ee3d71fbda0db8f4eab3abc7107fe65aec8c0d31c9147531ad5b1cb
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