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: 222 Bytes
8eaa72f | 1 2 3 4 5 6 7 8 9 10 | {
"test_loss": 2.498298954378697e-06,
"test_accuracy": 1.0,
"test_macro_f1": 1.0,
"test_f1": 1.0,
"test_runtime": 3.4699,
"test_samples_per_second": 1152.769,
"test_steps_per_second": 36.024,
"epoch": 3.0
} |