Instructions to use aehrc/cxrmate-rrg24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aehrc/cxrmate-rrg24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/cxrmate-rrg24", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True) model = AutoModel.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e0a8ca2e157da5e50791c762a58c19ccd3b43f170cc6fe7a1a79e453d3934a4a
- Size of remote file:
- 1.3 MB
- SHA256:
- a85776e29b005bd893b5cb3c8417187fc97f4ca1d18e56ed163b7138e73ea08b
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