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:
- e7042452f92db037fb4ec0f5c642ec02e75bac5e0addfa5a0338159c28f04da2
- Size of remote file:
- 898 Bytes
- SHA256:
- 2f17ae0774a6cabe818cbef86652626c4db490fbc647ad0a2c682628b7ebc7b2
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