Instructions to use blazeofchi/mempool-qwen3-0p6b-logits-orchestrator-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blazeofchi/mempool-qwen3-0p6b-logits-orchestrator-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blazeofchi/mempool-qwen3-0p6b-logits-orchestrator-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35f315925de1f8e9320efa1008b917610d2bc8626d75da76b027d0416978c089
- Size of remote file:
- 37.8 kB
- SHA256:
- fb612e134017bc17f83832ed5186a7983a5f785d742707243177b68e0ac35503
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.