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AI 模型 84759

• mms-tts-mza↗

  facebook

• wmt21-dense-24-wide-x-en↗

  facebook

• heb-100mb-after-wc-zipf-newlex-before-ckpt500-packed-bfdiso_seed455↗

  francesca9805

• heb-hebr-100mb-after-ppt-Dp-10mb-packed-bfdiso-ckpt500_seed455↗

  francesca9805

• gemma-7b↗

  Google

• metricx-24-hybrid-xxl-v2p6-bfloat16↗

  Google

  The repository contains the code for running inference on MetricX-24 models, a family of models for automatic evaluation of translations that were proposed in the WMT'24 Metrics Shared Task submission MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. The models were trained in T5X and then converted for use in PyTorch. There are 3 MetricX-24 models available on Hugging Face that vary in the number of parameters. Unlike the MetricX-23 models, the MetricX-24 models are all hybrid models that can do both reference-based and reference-free (also known as quality estimation, or QE) inference: We recommend using the XXL model versions for the best agreement with human judgments of translation quality, the Large versions for best speed, and the XL for an intermediate use case.

• multiberts-seed_2-step_1600k↗

  Google

• paligemma-3b-ft-widgetcap-224↗

  Google

• t5-efficient-tiny-el2↗

  Google

• Qwen2.5-32B-Instruct-abliterated↗

  huihui-ai