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_config.json from while-ai/ecommerce-1b: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/while-ai/ecommerce-1b/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://while-ai/ecommerce-1b/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/while-ai/ecommerce-1b/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.