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AI モデル 84759

• anascan-title-qwen3-0.6b-GGUF↗

  erponce

• MiniCPM5-1B-Agentic-Tooluse-v3-Merged-FP16↗

  ewin-reg

• bert-ai-text-detector↗

  followsci

• genbio-pathfm↗

  genbio-ai

• codegemma-7b-it-keras↗

  Google

• electra-large-discriminator↗

  Google

  **ELECTRA** is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to the discriminator of a GAN. At small scale, ELECTRA achieves strong results even when trained on a single GPU. At large scale, ELECTRA achieves state-of-the-art results on the SQuAD 2.0 dataset. For a detailed description and experimental results, please refer to our paper ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. This repository contains code to pre-train ELECTRA, including small ELECTRA models on a single GPU. It also supports fine-tuning ELECTRA on downstream tasks including classification tasks (e.g,. GLUE), QA tasks (e.g., SQuAD), and sequence tagging tasks (e.g., text chunking).

• t5-efficient-large-kv256↗

  Google

• animatediff-motion-adapter-sdxl-beta↗

  guoyww

• opus-mt-es-fr↗

  Helsinki-NLP

• tiny-random-Qwen2_5_VLForConditionalGeneration↗

  hf-tiny-v2