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
Download NOTICE from flowxai/hscodeclassify: direct link, hf CLI and curl.
- Browser
- Download file 342 Bytes
-
https://huggingface.co/flowxai/hscodeclassify/resolve/main/NOTICE
- Command line
-
hf download hf://flowxai/hscodeclassify/NOTICE
-
curl -L -o NOTICE https://huggingface.co/flowxai/hscodeclassify/resolve/main/NOTICE
342 Bytes
| FlowX OpenNER | |
| 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 | |