Instructions to use jkminder/Qwen3-8B-LF-EM-improved_a0_aligned_d2db2032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkminder/Qwen3-8B-LF-EM-improved_a0_aligned_d2db2032 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jkminder/Qwen3-8B-LF-EM-improved_a0_aligned_d2db2032", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fec4319d340ab8d57363e84c16f2a7bf0c4473dc083803e711f0f440defdbd38
- Size of remote file:
- 698 MB
- SHA256:
- 6e4a806d4c3f7c55d7fea6dee80ea6172a59cb8488d379af01c9235ef6892eea
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