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:
- aac85309e720be4160af7198eea0e7dab6e2df548213c120b88b16b211084fce
- Size of remote file:
- 272 MB
- SHA256:
- 76cb77d6e64089d0b4e8f49df85e6a2a4d5b0059dd42e335004d6c785c9fb698
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