Transformers
Safetensors
decision-model
commerce
system-one
structured-output
calibration
custom-code
qwen3.8
offline
Instructions to use infercrane/Commerce-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infercrane/Commerce-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("infercrane/Commerce-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/tokenizer.json from infercrane/Commerce-1: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/infercrane/Commerce-1/resolve/main/model/tokenizer.json
- Command line
-
hf download hf://infercrane/Commerce-1/model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/infercrane/Commerce-1/resolve/main/model/tokenizer.json
20 MB
- Xet hash:
- a534f7c9d12bb01a2bc21781b55369e077043baed4c8f646fdeff5ff02dfd4d6
- Size of remote file:
- 20 MB
- SHA256:
- 6f32ce20dc35f57a7f9ad1eac03525bd7d30f9df8cea6507e958279cc3657706
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.