Instructions to use raicrits/topicChangeDetector_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raicrits/topicChangeDetector_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raicrits/topicChangeDetector_v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raicrits/topicChangeDetector_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9de70e2564897e7cca7b831f6d0b3e960e2cea035cd485e5008a2716d5ad383f
- Size of remote file:
- 1.11 GB
- SHA256:
- 09e7d265bcf75e0891d0081a052e730d8e008cd42e0a1636c0373426814d2c2b
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