Summary
Metadata information of all the models uploaded on HuggingFace modelhub
Dataset was last updated on 15th June 2021. Contains information on 10,354 models (v1).
Only train dataset is provided
Update: v1.0.2: Added downloads_last_month and library data
Same dataset is available in kaggle
Loading data
from datasets import load_dataset
modelhub_dataset = load_dataset("dk-crazydiv/huggingface-modelhub")
Useful commands:
modelhub_dataset["train"] # Access train subset (the only subset available)
modelhub_dataset["train"][0] # Access the dataset elements by index
modelhub_dataset["train"].features # Get the columns present in the dataset.
Sample dataset:
{
"downloads_last_month": 7474,
"files": [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json",
"with-prefix-tf_model.h5"
],
"lastModified": "2021-01-13T15:08:24.000Z",
"library": "transformers",
"modelId": "albert-base-v1",
"pipeline_tag": "fill-mask",
"publishedBy": "huggingface",
"tags": [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
],
"modelCard": "Readme sample data..."
}
Bugs:
Please report any bugs/improvements to me on twitter