Instructions to use jsunn-y/CARE_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsunn-y/CARE_pretrained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jsunn-y/CARE_pretrained", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and link to paper
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag and library_name to the model card metadata. The pipeline_tag is set to text-to-text given the classification and retrieval tasks described in the paper, and the library_name is set to transformers. It also adds a link to the paper.
jsunn-y changed pull request status to merged