Instructions to use dejanai/ecommerce-taxonomy-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanai/ecommerce-taxonomy-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanai/ecommerce-taxonomy-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dejanai/ecommerce-taxonomy-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data/token_distribution.csv from dejanai/ecommerce-taxonomy-classifier: direct link, hf CLI and curl.
- Browser
- Download file 619 Bytes
-
https://huggingface.co/dejanai/ecommerce-taxonomy-classifier/resolve/main/data/token_distribution.csv
- Command line
-
hf download hf://dejanai/ecommerce-taxonomy-classifier/data/token_distribution.csv
-
curl -L -o token_distribution.csv https://huggingface.co/dejanai/ecommerce-taxonomy-classifier/resolve/main/data/token_distribution.csv
619 Bytes
| band,count | |
| 0-9,13391 | |
| 10-19,47621 | |
| 20-29,14826 | |
| 30-39,10133 | |
| 40-49,11097 | |
| 50-59,8071 | |
| 60-69,5352 | |
| 70-79,4394 | |
| 80-89,8140 | |
| 90-99,14558 | |
| 100-109,18786 | |
| 110-119,18958 | |
| 120-129,15700 | |
| 130-139,12784 | |
| 140-149,10801 | |
| 150-159,9386 | |
| 160-169,8113 | |
| 170-179,7660 | |
| 180-189,7468 | |
| 190-199,7342 | |
| 200-209,7442 | |
| 210-219,7516 | |
| 220-229,7848 | |
| 230-239,8119 | |
| 240-249,8503 | |
| 250-259,8561 | |
| 260-269,8649 | |
| 270-279,8644 | |
| 280-289,8241 | |
| 290-299,7541 | |
| 300-309,6845 | |
| 310-319,6031 | |
| 320-329,5166 | |
| 330-339,4376 | |
| 340-349,3765 | |
| 350-359,3076 | |
| 360-369,2743 | |
| 370-379,3244 | |
| 380-389,2447 | |
| 390-399,1028 | |
| 400-409,76 | |
| 410-419,57 | |
| 420-429,21 | |
| 430-439,0 | |
| 440-449,1 | |