Instructions to use djsull/begging_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djsull/begging_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="djsull/begging_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("djsull/begging_classification") model = AutoModelForSequenceClassification.from_pretrained("djsull/begging_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 585fa3c11be9369c952c2bb77bd6cb23521198615d9f650b9bd82c5c28ef1f8b
- Size of remote file:
- 5.24 kB
- SHA256:
- bfa087bca92e351ea3a6a0ad6b08bb1ee3bcf28dafbc23869ee07aa4206ec2f8
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