Instructions to use blazeofchi/mempool-qwen-logits-orchestrator-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blazeofchi/mempool-qwen-logits-orchestrator-v0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blazeofchi/mempool-qwen-logits-orchestrator-v0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d4dbf805c3ab86c02c731706715ab9008d0c9fb84e0094f43966a816f755b92
- Size of remote file:
- 33.7 kB
- SHA256:
- f13153709a439b6f4d4066f05afd739085739d9fe70a7e0866aece7893bec8f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.