Instructions to use blazeofchi/mempool-qwen-logits-orchestrator-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blazeofchi/mempool-qwen-logits-orchestrator-smoke with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blazeofchi/mempool-qwen-logits-orchestrator-smoke", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e4f1b5fc45b5b95de298ca4f27ae6e5a0937401f78ff3eb569eb43f80301c49
- Size of remote file:
- 32.9 kB
- SHA256:
- 670ec5385288ce86d7278a7df39469958fe495683acb9302d1f68acee70c164c
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