quickstart
quickstart-3d
Dataset Card for quickstart-3d
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/quickstart-3d")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/quickstart-3d.ov2_quickstart
OV2 Quickstart
Quickstart bundle for LLaVA-OneVision-2 (OV2). Contains everything needed to reproduce SFT training and run inference: packed SFT data, ready-to-use HF inference model, Megatron-Core checkpoint, and a Megatron training environment snapshot.
Total size: ~374 GB across 329 files.
Contents
1. packed_mixed_sft_cap_v30s/ — 308 GB
Packed mixed SFT (image + video + caption) dataset, sharded for distributed training via Megatron-Energon.
Format:… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/ov2_quickstart.quickstart-coco
Dataset Card for quickstart
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("guydada/quickstart-coco")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/guydada/quickstart-coco.quickstart_vllm
Dataset Card for quickstart_vllm
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/quickstart_vllm/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/quickstart_vllm.banking77-oumi-quickstartquickstart-coco2
Dataset Card for quickstart
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("guydada/quickstart-coco2")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/guydada/quickstart-coco2.