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:
- 0568ef76f4f75701b212327034bc4314cdd773ec83bda5af06ac1363d328292f
- Size of remote file:
- 268 MB
- SHA256:
- e88532e8b0d0583f7a96aa686f19f0ab2256ee741f6b55773cbb8f36f520c276
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