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:
- 2a3b3bd462513f04257db1fa331b57e7e8c50e6e0811747e3a57e0e95de3f41f
- Size of remote file:
- 418 Bytes
- SHA256:
- efb5c0d09722e5fe59a462cd2a9976ee216d55b037597d997cd3fe833216da15
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