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:
- ef490c87220b4d58fad3329b1c36479563e9df19f6a8068f02ced9f86d04eb7c
- Size of remote file:
- 3.96 kB
- SHA256:
- 1f72a4151e43a6e203c512dc6f0ac1f22722756ef85cd24a6c1264ae9d11327b
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