IPFS Huggingface Datasets
This is a model manager and wrapper for huggingface, looks up a index of models from an collection of models, and will download a model from either https/s3/ipfs, depending on which source is the fastest.
How to use
pip install .
look run python3 example.py for examples of usage.
this is designed to be a drop in replacement, which requires only 2 lines to be changed
In your python script
from datasets import load_dataset
from ipfs_datasets import load_dataset
dataset = load_dataset.from_auto_download("bge-small-en-v1.5")
or
from datasets import load_dataset
from ipfs_datasets import load_dataset
dataset = load_dataset.from_ipfs("QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1")
or to use with with s3 caching
from datasets import load_dataset
from ipfs_datasets import load_dataset
dataset = load_dataset.from_auto_download(
dataset_name="common-crawl",
s3cfg={
"bucket": "cloud",
"endpoint": "https://storage.googleapis.com",
"secret_key": "",
"access_key": ""
}
)
IPFS Huggingface Bridge:
for transformers python library visit: https://github.com/endomorphosis/ipfs_transformers/
for transformers js client visit:
https://github.com/endomorphosis/ipfs_transformers_js/
for orbitdb_kit nodejs library visit: https://github.com/endomorphosis/orbitdb_kit/
for fireproof_kit nodejs library visit: https://github.com/endomorphosis/fireproof_kit
for Faiss KNN index python library visit: https://github.com/endomorphosis/ipfs_faiss/
for python model manager library visit: https://github.com/endomorphosis/ipfs_model_manager/
for nodejs model manager library visit: https://github.com/endomorphosis/ipfs_model_manager_js/
for nodejs ipfs huggingface scraper with pinning services visit: https://github.com/endomorphosis/ipfs_huggingface_scraper/
Author - Benjamin Barber QA - Kevin De Haan
1 maintainer
Metadata
1 maintainer
Release files for ipfs-embeddings-py 0.0.28
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