Instructions to use bihungba1101/pron-acc-qwen3.5-4b-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bihungba1101/pron-acc-qwen3.5-4b-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bihungba1101/pron-acc-qwen3.5-4b-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 0ac074261eabf346b7d1c64bf0915f358e77151b2542637f20ed6c12c61aebf1
- Size of remote file:
- 85 MB
- SHA256:
- dd8ba865d0d04a82ea93d01a87325ab7d3fcb59bfed4cba1911d74c3c31d6a62
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