Text Classification
Transformers
Safetensors
English
canine
transaction-classification
banking
finance
character-level
experimental
Eval Results (legacy)
Instructions to use maaz-zaidi/transaction-classifier-canine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maaz-zaidi/transaction-classifier-canine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maaz-zaidi/transaction-classifier-canine")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maaz-zaidi/transaction-classifier-canine") model = AutoModelForSequenceClassification.from_pretrained("maaz-zaidi/transaction-classifier-canine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metadata.json from maaz-zaidi/transaction-classifier-canine: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/maaz-zaidi/transaction-classifier-canine/resolve/main/metadata.json
- Command line
-
hf download hf://maaz-zaidi/transaction-classifier-canine/metadata.json
-
curl -L -o metadata.json https://huggingface.co/maaz-zaidi/transaction-classifier-canine/resolve/main/metadata.json
248 Bytes
| { | |
| "base_model": "google/canine-s", | |
| "train_samples": 173761, | |
| "num_epochs": 5, | |
| "batch_size": 32, | |
| "learning_rate": 5e-05, | |
| "warmup_ratio": 0.1, | |
| "max_length": 128, | |
| "max_samples": null, | |
| "trained_at": "2026-04-03T21:17:28.813280+00:00" | |
| } |