Instructions to use FlowRank/mailSort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlowRank/mailSort with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FlowRank/mailSort")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlowRank/mailSort", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 453dce761c2bf19b8a325de86c3bf6c079ab2ba5f10d014126bc796e4faae83f
- Size of remote file:
- 5.27 kB
- SHA256:
- e5f07cdfe1546cecc7b90ed8a2b923d1de3ed2925d0c1de004f011b09e643764
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