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:
- 5a1d5860a3b71cabd4cf169a4527d6de0b73adfe0219e4046110d9c42ae70da4
- Size of remote file:
- 46.3 kB
- SHA256:
- ff59ac783115efad0320711fe6e33207feb2bba7bbbf13631869a4d0ca204772
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