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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raicrits/topicChangeDetector_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from raicrits/topicChangeDetector_v1: direct link, hf CLI and curl.
- Browser
- Download file 2.22 GB
-
https://huggingface.co/raicrits/topicChangeDetector_v1/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://raicrits/topicChangeDetector_v1@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/raicrits/topicChangeDetector_v1/resolve/refs%2Fpr%2F1/optimizer.pt
2.22 GB
- Xet hash:
- b5dc9bb5fc7e6890c8917a04071ba7850d8b307d42b2de9536a8e46a26b4da92
- Size of remote file:
- 2.22 GB
- SHA256:
- cee02d4829cef5e337db7675b6c2df7c89c77243b06051db6401b870f0f395f4
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