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) - Notebooks
- Google Colab
- Kaggle
Training Script?
#2
by oscarloch - opened
Hi,
I was wondering if there is any training script for the model available for the replication of results.
Thank you so much in advance!
The training script was similar to:
https://github.com/aehrc/cxrmate
and
https://github.com/aehrc/cxrmate-ed (the training script for this one will be updated in the next couple of weeks. The pipeline will be switched to a hugging face datasets pipeline, which will be much cleaner).