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Depth LoRA Checkpoints Diode Diode Outdoor
> Base model: metric3dvitgiant2 > loaded via torch.hub.load("yvanyin/metric3d", "metric3dvitgiant2")
Wav2vec2 Nigerian Language Identifier v5
This model is a fine-tuned version of drrobot9/wav2vec2-nigerian-language-identifier-v4 on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0623 Accuracy: 0.9901
Nyansapo Ocr Trocr LoRA v1 0 2
maxtargetlen reduced from 128 → 4 (root fix for hallucination) norepeatngramsize set to 0 (was hurting short outputs) lengthpenalty set to 1.0 (was 2.0 — was pushing model to generate more tokens)
Uni ControlNet
Uni-ControlNet is a novel controllable diffusion model that allows for the simultaneous utilization of different local controls and global controls in a flexible and composable manner within one model.
Rfdetr Road Signs Agree2
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: 13.9987 Map: 0.185 Map 50: 0.2141 Map 75: 0.206 Map Small: 0.0727...
Yukishiro Mahiro Wan 2.1 14b T2V
Base model: Wan Video 14B t2v Trained words: Yukishiro Mahiro, anime-style girl. The image features a character with long, flowing light blue hair that cascades down to the shoulders. The hair is styled in loose...
Florence2 Icon
minhvn4/florence2-icon is a fine-tuned version of Microsoft's Florence-2-base specifically tailored for Icon Captioning. This model understands and generates descriptive captions for UI icons, symbols, and pictograms.
Vjepa2 Vitl Fpc16 256 Ssv2 Fdet 64 Frames 1clip 1indice Cleaned New Split 15pochs
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Prompt Depth Anything Vitl
Prompt Depth Anything is a high-resolution and accurate metric depth estimation method, with the following highlights: using prompting to unleash the power of depth foundation models, inspired by success of prompting...
Rope I Vit B16 Pn Aps C1 Pe Core
A ViT-B16 image encoder from the PE-Core model by Bolya et al., converted to the Birder format for image feature extraction. This version retains the original model weights and architecture, with the exception of...
Rfdetr Roadsign Agree1 Noaug
This model is a fine-tuned version of Roboflow/rf-detr-large on an unknown dataset. It achieves the following results on the evaluation set: Loss: 14.1509 Map: 0.6591 Map 50: 0.7654 Map 75: 0.7088 Map Small: 0.1129...
UnrealVision XL (Photoreal / Uncensored / Flux-Merge)
This is a high-end hybrid checkpoint designed to push the boundaries of photorealism in the SDXL ecosystem. Created through a meticulous multi-step process combining Flux-derived weights with the best SDXL models,...
Siglip2 Giant Opt Patch16 384 Tgk 32768
This model is a 13.74% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Tajik language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to the...
Penis LoRA Ltx 2.3 Sulphur LoRA
Base model: LTXV 2.3 Trained words: PENISLORA
Siglip So400m Patch14 384 From Llava Onevision Qwen2 7b Si Hf
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
ControlNet Test
These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Vilt B32 Finetuned Vqa
Vision-and-Language Transformer (ViLT) model fine-tuned on VQAv2. It was introduced in the paper [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision]( by Kim et al. and first released in...
MyRealPony 🦄
See the 'about this version' on side about changes to the model.
AST Finetuned Ravdess
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Med BLIP 2 QLoRA
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
