Text Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
logistics
de-identification
text-embeddings-inference
Instructions to use flowxai/hscodeclassify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/hscodeclassify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flowxai/hscodeclassify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/hscodeclassify") model = AutoModelForSequenceClassification.from_pretrained("flowxai/hscodeclassify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 342 Bytes
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Copyright 2026 FlowX.AI
This product includes software and models developed at FlowX.AI (https://flowx.ai).
Licensed under the Apache License, Version 2.0 (the "License"); you may not use these
files except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
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