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
- Xet hash:
- 5067815db26328d2b353a009665277f1d88c568c21c90903bbcd61bd3f822787
- Size of remote file:
- 588 kB
- SHA256:
- 9addc8bdce5988448ae81b729336f43a81262160ae8da760674badab9d4c7d33
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