galore
Datasets
All datasets matching “galore”weeds-galore
Dataset Card for weeds-galore
This is a FiftyOne dataset with 156 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/weeds-galore")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/weeds-galore.Easy_Galore_8bit_training_With_Native_Windows_Support
SUPPORT ME ON PATREON
https://www.patreon.com/c/Rombodawg
Prerequisites:
Python:
https://www.python.org/downloads/
Git:
https://git-scm.com/downloads
Instructions:
Make sure python and git are installed
Open a command prompt terminal on your local folder
In command prompt run
git lfs install
then
git clone https://huggingface.co/datasets/Rombo-Org/Easy_Galore_8bit_training_With_Native_Windows_Support
then
cd Easy_Galore_8bit_training_With_Native_Windows_Support
Now… See the full description on the dataset page: https://huggingface.co/datasets/Rombo-Org/Easy_Galore_8bit_training_With_Native_Windows_Support.BlackBeenie__llama-3.1-8B-Galore-openassistant-guanaco-details
Dataset Card for Evaluation run of BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco
Dataset automatically created during the evaluation run of model BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train"… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/BlackBeenie__llama-3.1-8B-Galore-openassistant-guanaco-details.cuties-galore