Resource directory
Find what you need for your workflow.
Guides: techniques, setup, and troubleshootingSearch Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
All resources
20 shown of 38,603
VideoMAE Wlasl CodeCheck
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 7.5916 Accuracy: 0.0015
Nllb Indo En
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on Fleurs Dataset without duplication of ids. It achieves the following results on the evaluation set: Loss: 0.3048
Intern Qformer Epoch2 1207
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...
Fashion Images Perspectives
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the touchtech/fashion-images-perspectives dataset. It achieves the following results on the evaluation set: Loss: 0.2280 Accuracy: 0.9269
Autopilot Qwen3 Vl
Autopilot-Qwen3-VL is an end-to-end autonomous driving model built on top of the powerful Qwen3-VL-2B-Instruct Vision-Language Model. It takes a single road/dashcam image as input and directly predicts the vehicle's...
PaddleOCR VL 1.5 Q 4 K M GGUF
This repository contains the Q4KM GGUF quantization of the PaddleOCR-VL-1.5 model done using llamacpp.
Siglip2 So400m Patch14 224 Vision
> Note: This is a stripped-down copy of google/siglip2-so400m-patch14-224 containing only the vision tower. It encodes images / video frames into the shared embedding space and is meant to be loaded on its own at...
THOR 1.0 Small
THOR (Transformer based foundation model for Heterogeneous Observation and Resolution) is a compute-adaptive geospatial foundation model developed by Norwegian Computing Center (NR), UiT The Arctic University of...
SAGE MM Qwen3 VL 8B SFT RL Q4 0 GGUF
This model was converted to GGUF format from allenai/SAGE-MM-Qwen3-VL-8B-SFTRL using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Swecha Gonthuka Finetuned Asr
This repository contains a fine-tuned Wav2Vec2 Automatic Speech Recognition (ASR) model for the Telugu language.
YetAnotherToonyMerge
THIS IS A VPRED-MODE CHECKPOINT More merging attempt to bring Noob vpred away from anime and more towards a western cartoon style.
Wav2Vec2 Small AntiDeepfake NDA
Bit-exact copy of nii-yamagishilab/wav2vec-small-anti-deepfake-nda (the AntiDeepfake collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena. Trained without data augmentation (NDA).
Inkling 0.6B A0.6B
This is a tiny version of thinkingmachines/Inkling created for testing and development.
Kokoro 82M CoreAI
hexgrad/Kokoro-82M (Apache-2.0), a tiny high-quality StyleTTS2 + iSTFTNet text-to-speech model (82M params, 24 kHz), converted to Apple Core AI (.aimodel, iOS 27 / macOS 27) — the CoreAI-Model-Zoo's first TTS.
Blip Vqa LoRA Finetune Model
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Medbot LoRA
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...
Blip2 Vizwizqa
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Qwen3 Asr 0.6b Mizonal3 E1 Lus v2026.06
> Disclaimer / Notice: Details for these are in Peer Review and publications of the paper will be made available soon for more details.
Qwen35b Espanol GGUF
Fine-tune de Qwen3.6-35B-A3B (MoE, 35B total / 3B activos) orientado a español neutro con sesgo chileno, cuantizado a Q4KM (20 GB) y listo para correr en una RTX 3090 24GB a 169 tok/s con llama.cpp.
BxSD Finetuned UCF RGBCROP 5e6 Poly
This model is a fine-tuned version of TanAlexanderlz/BxSDRGBCROPAug16F-8B16F5e6-poly on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.3295 Accuracy: 0.8056
