reward-model-deberta-v3-unit-test
MaxJeblick基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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xlnet-large-cased-tass-finetuned-2026
MayorChris基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗xDecision
mccoysc基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Indonesian BERT Base Sentiment Classifier is a sentiment-text-classification model. The model was originally the pre-trained IndoBERT Base Model (phase1 - uncased) model using Prosa sentiment dataset
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View details ↗magpie-babe-ft
mediabiasgroup基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗roberta-babe-ft
mediabiasgroupThis repository provides a **RoBERTa-base** model fine-tuned on the **BABE (Bias Annotations By Experts)** dataset for **sentence-level lexical/loaded-language bias** detection in English news text. BABE was introduced in the paper *Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Experts*. Media-bias perception is subjective and context-dependent. This model may **over-flag** emotionally charged wording. Keep a **human in the loop** and avoid punitive or outlet-level decisions without careful validation.
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View details ↗flair-arabic-multi-ner
megantosh基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Deem-4B-GGUF
mertkayacs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Karar-4B-GGUF
mertkayacs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Wahler-4B
mertkayacs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Wahler-4B-GGUF
mertkayacs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗finetune-mnli-nanot5-small
mesolitica基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗IronJean-1.0-ModernBERT-WAF
Metabaron6基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Shieldstral-1.0-3B-GGUF
Metabaron6基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗ru-pii-ner-gliner2.5
metrika-labs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗TCS_Pairing
mgh6基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3-Reranker-0.6B-seq
michaelfeil基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗rune-26b-a4b
michaelfeil基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗albert-base-rci-wikisql-row
michaelrglass基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗emotion_text_classifier
michelleli99DistilRoBERTa-base is a transformer model that performs sentiment analysis. I fine-tuned the model on transcripts from the Friends show with the goal of classifying emotions from text data, specifically dialogue from Netflix shows or movies. The model predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutrality, sadness, and surprise. The model is a fine-tuned version of Emotion English DistilRoBERTa-base and DistilRoBERTa-base. This model was initially trained on the following table from Emotion English DistilRoBERTa-base: It was fine-tuned on: |Name|anger|disgust|fear|joy|neutral|sadness|surprise| |---|---|---|---|---|---|---|---| |Emotion Lines (Friends)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
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