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Animal Sketch Classifier Coreml
AnimalSpeciesClassifierV4 is a compact Core ML image classifier for line-drawn animals. It is designed for iOS applications that turn PencilKit strokes into a normalized grayscale sketch before classification.
ControlNet Depth SDXL 1.0
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with depth conditioning. You can find some example images in the following.
Dermai Efficientnet B0
Fine-tuned google/efficientnet-b0 for 7-class skin lesion classification on HAM10000. Part of the DermAI explainability project comparing CNN and Vision Transformer explanations.
Huvr Vitb16 Tintok16
Implicit neural representation Hyper-networks for Unified Visual Representation (HUVR) aim to unify visual modeling on two axes: embedding dimension, and task family. The embeddings generated by the models include...
Segformer B0 Finetuned Ade 512 512
SegFormer model fine-tuned on ADE20k at resolution 512x512. It was introduced in the paper SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers by Xie et al. and first released in this...
Text To Sql
A LoRA fine-tune of Llama-3.2-3B-Instruct for generating SQL queries from a natural language question plus a table schema.
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0486 Accuracy: 0.9815
Herbarium Africa Rubiaceae Species
Herbarium specimen classifier published by the herbarium-pipeline project.
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('katelynvuong/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Paraformer Zh GGUF
Experimental low-memory GGUF quantizations of funasr/paraformer-zh. The vocabulary and CMVN tensors are embedded in each file.
Pocket Tts GGUF
GGUF / ggml conversion of kyutai/pocket-tts for use with CrispStrobe/CrispASR.
Vagdhenu
Model weights for Vāgdhenu, a single-speaker Sanskrit chant (pārāyaṇa) TTS. MOS 4.6 (expert listener); conjuncts including retroflex aspirates render 100% correctly.
Siglip2 Large Patch16 512 Nep 32768
This model is a 25.91% smaller version of google/siglip2-large-patch16-512 optimized for Nepali language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to the...
v58 Public091 Loraplus R64 Lr2e5 X16 Ep2
This model is a fine-tuned version of OpenOneRec/OneReason-0.8B-pretrain-competition on the expv49public091exact dataset.
Rfdetr Docvqa Media3 Trainval Agree2 Medium
This model is a fine-tuned version of Roboflow/rf-detr-medium on an unknown dataset. It achieves the following results on the evaluation set: Loss: 15.6134 Map: 0.283 Map 50: 0.444 Map 75: 0.2928 Map Small: -1.0 Map...
Llava v1.5 13b Xtuner Pretrain
llava-v1.5-13b-xtuner-pretrain is a LLaVA projector pretrained from Vicuna-13B-v1.5 and CLIP-ViT-Large-patch14-336 on LLaVA-Pretrain dataset by XTuner.
Latent Zoning Networks
Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In this paper, we ask: Can a...
Zen3 Asr 0.6B
Compact 0.6B Zen3 automatic speech recognition model, sized for edge devices and latency-sensitive transcription.
Hulu Med Flash Preview 27B I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Krea2 Fr4zz Hi
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
