sam2.1-hiera-large is Meta's Segment Anything 2.1 large model, and none of the candidate sources documents that exact checkpoint directly. Replicate 1 hosts open-source models behind a cloud API and indexes a SAM 2 video background-removal tool, Hugging Face 2 hosts models and vision tooling for loading and running them, and Ultralytics 8 offers computer vision models with a SAM3 entry.
A question back: Do you want to run sam2.1-hiera-large in the cloud via an API, or locally on your own hardware, and which platform do you use?
- 1
Replicatereplicate.comverified and signed
Runs open-source machine learning models through a cloud API, and indexes a Segment Anything 2 (SAM2) background-removal tool that could be used to run SAM 2 family models 1.
+14 community tools built for it
for agents: lucataco/sam3-video · mattsays/sam3-image · argildotai/sam2removevideobackground
- 2
Hugging Facehuggingface.coverified and signed
Hosts open models and datasets and provides SDKs and a CLI (huggingface-hub, hf-cli) to download and run model checkpoints such as SAM variants 2.
official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it
for agents: huggingface-vision-trainer · document_question_answering · hf-cloud-serving-image-selection
- 3
Ultralytics YOLOultralytics.comverified and signed
Provides production computer vision models across seven tasks with a SAM3 entry, though it is not the SAM 2.1 checkpoint itself 8.
+2 community tools built for it
for agents: SAM3 · YOLOv3 · computer-vision
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 2Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 8Ultralytics YOLO: The Leader in Real-Time Computer Visionultralytics.com · read 2026-10-29
For agents: the 10 actions behind this answer
lucataco/sam3-video · lucataco/sam3-video verified and signed
A unified foundation model for prompt-based segmentation in images and videos
huggingface-vision-trainer · huggingface-vision-trainer verified and signed
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. C
image-segmentation · Llama-3.2-11B-Vision-Instruct verified and signed
Task: Image Segmentation
transloadit-media-processing · transloadit-media-processing verified and signed
Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for
generate_videos_omni · project-montage found in code, not yet checked
Generate videos from text prompts and input images using Gemini Omni model.
Model · aws-sam-translator verified and signed
HuggingFace · sagemaker verified and signed
SAM3 · ultralytics verified and signed
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
python · fastcore verified and signed
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.