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
File size: 464 Bytes
8153a62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | [project]
name = "mailsort"
version = "0.1.0"
description = "Add your description here"
requires-python = ">=3.11"
dependencies = [
"accelerate>=1.13.0",
"datasets>=4.8.5",
"huggingface-hub>=1.13.0",
"safetensors>=0.7.0",
"torch>=2.11.0",
"transformers>=5.8.0",
]
[project.scripts]
mailsort-train = "mailsort.train:main"
mailsort-eval = "mailsort.eval:main"
mailsort-prepare-model = "mailsort.prepare_model:main"
[tool.uv]
package = true
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