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AI 모델 85003
- vit_base_patch32_224.sam_in1k↗
timm
- setfit-absa-bge-small-en-v1.5-restaurants-polarity↗
tomaarsen
This is a SetFit model trained on the SemEval 2014 Task 4 (Restaurants) dataset that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification. In particular, this model is in charge of classifying aspect polarities. 1. Fine-tuning a Sentence Transformer with contrastive learning. 2. Training a classification head with features from the fine-tuned Sentence Transformer. 1. Use a spaCy model to select possible aspect span candidates. 2. Use a SetFit model to filter these possible aspect span candidates. 3. **Use this SetFit model to classify the filtered aspect span candidates.**
- Tri-7B↗
trillionlabs
- LFM2-350M-GGUF↗
unsloth
- Ministral-3-8B-Reasoning-2512-unsloth-bnb-4bit↗
unsloth
- herbert-base-cased-sentiment↗
Voicelab
- **Language model:** allegro/herbert-base-cased - **Language:** pl - **Training data:** Reviews + own data - **Blog post:** Sentiment analysis - COVID-19 – the source of the heated discussion
- Qwen3-Reranker-8B-GGUF-llama_cpp↗
Voodisss
- Huihui-Qwen3.8-27B-abliterated-NInfer-v3↗
WaveCut
A NInfer **v3** artifact of huihui-ai/Huihui-Qwen3.8-27B-abliterated, the abliterated Qwen3.8-27B with the lowest reported divergence from the base checkpoint among the widely used releases (the first fifteen layers are untouched; independent KL divergence measurements sit around 0.008) and a working MTP head. Built for NInfer-all, the `master` branch of iamwavecut/ninfer-all: ashalliants' NInfer-3090 consolidated with the fixes and features of the other NInfer forks. It serves the RTX 3090, RTX 4090, RTX 5090 and RTX PRO 6000 Blackwell, each with its measured kernel route profile built in (other GPUs calibrate once at first start). A single RTX 3090 serves a 198,400-token window with Vision and MTP. From the Docker image (an NVIDIA driver of the CUDA 13 branch, 580 or newer, and the NVIDIA Container Toolkit):
- opus-mt-hi-en↗
Xenova
- Qwen3.5-4B-Medical-Reasoning-GGUF↗
xtools-at