Text Classification
PEFT
Safetensors
English
intent-classification
ecommerce
lora
qlora
function-calling
Instructions to use while-ai/ecommerce-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use while-ai/ecommerce-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-1b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "while-ai/ecommerce-1b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from while-ai/ecommerce-1b: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/while-ai/ecommerce-1b/resolve/main/tokenizer.json
- Command line
-
hf download hf://while-ai/ecommerce-1b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/while-ai/ecommerce-1b/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c4c7aa84fb94a696d78f2bde62590a25b6741b7365ed842f9310b5dcab71d95d
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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