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This issue is for keeping track of the recurrent Whisper asks as well as the linked on-going efforts to support that feature, if any. When a feature request has no linked PR, feel free to claim the work here if you want to help! - Related issues: https://github.com/vllm-project/vllm/issues/19556, https://github.com/vl…
vllm-project/vllmAbout 4 hr语音推理部署
Cross-checked · GitHub Good First Issues · aiConfirmed still open · Oct 5, 2026Add to path
These enhancements are to have a better UX when using foreach_map, suggested in a few places, but most recently, https://github.com/pytorch/pytorch/issues/158371#issuecomment-3088757068 These enhancements should allow easier compiler-first custom optimizer implementations. cc @chauhang @penguinwu @voznesenskym @EikanW…
pytorch/pytorchAbout 4 hr编译器性能优化
Cross-checked · GitHub Good First Issues · aiConfirmed still open · Oct 5, 2026Add to path
The Shift to Tabular Foundation Models Tabular data is the backbone of enterprise machine learning. Customer records, transactions, sensor logs, claims, and orders all live in tables, and predicting churn, default, demand, or price from them is among the most common machine learning tasks in industry. For two decades,…
Hugging FacePublished Sep 29, 2026
Cross-checked · Hugging Face BlogVerified Oct 5, 2026
As models become faster and workloads scale, that balance begins to shift. Training on massive datasets, serving many concurrent requests, or repeatedly processing long inputs can put enough pressure on the tokenizer that it starves the model of data.
Hugging FacePublished Sep 21, 2026
Cross-checked · Hugging Face BlogVerified Oct 5, 2026