Instructions to use WebOrganizer/TopicClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebOrganizer/TopicClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WebOrganizer/TopicClassifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("WebOrganizer/TopicClassifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 087802a8239af974b478223f1115015f3d084f1644116ad5eee46761dbcfec6c
- Size of remote file:
- 550 MB
- SHA256:
- 575a94d43a27559df8afa2b52b0f0fdac568a10107f2e611d83a5504dfcee0e4
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