Instructions to use noystl/mistral-abstract-cot-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noystl/mistral-abstract-cot-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="noystl/mistral-abstract-cot-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("noystl/mistral-abstract-cot-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, metrics and correct license
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag, library_name and metrics to the model card metadata, and corrects the license.
The pipeline_tag is set to feature-extraction as the model is used for classifying scientific abstracts based on idea recombination. The library_name is set to transformers. The metrics is set to accuracy. The license is set to cc-by-4.0.
noystl changed pull request status to merged