Description:

ipfsfaiss 0.0.2

Scaling Ethereum Hackathon Presents
About
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
import datasets
from datasets import load_dataset
from datasets import FaissIndex
from transformers import AutoModel
from ipfs_transformers import AutoModel
from datasets import load_dataset
from ipfs_datasets import ipfs_load_dataset
from ipfs_datasets import auto_download_dataset
from ipfs_faiss import IpfsFaissDataset

model = AutoModel.from_auto_download("bge-small-en-v1.5")
dataset = auto_download_dataset('Caselaw_Access_Project_JSON')
knnindex = auto_download_faiss_index('Caselaw_Access_Project_FAISS_index')
index = FaissIndex(dimension=512)
embeddings = dataset['embeddings']
query = "What is the capital of France?"
query_vector = model.encode(query)
scores, neighbors = index.search(query_vectors, k=10)

or
import datasets
from datasets import load_dataset
from datasets import FaissIndex
from transformers import AutoModel
from ipfs_transformers import AutoModel
from datasets import load_dataset
from ipfs_datasets import ipfs_load_dataset
from ipfs_datasets import auto_download_dataset
from ipfs_faiss import IpfsFaissDataset

model = AutoModel.from_ipfs("QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1")
dataset = ipfs_download_dataset('QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1')
knnindex = ipfs_download_faiss_index('QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1')
index = FaissIndex(dimension=512)
embeddings = dataset['embeddings']
query = "What is the capital of France?"
query_vector = model.encode(query)
scores, neighbors = index.search(query_vectors, k=10)

or to use with with s3 caching
import datasets
from datasets import load_dataset
from datasets import FaissIndex
from transformers import AutoModel
from ipfs_transformers import AutoModel
from datasets import load_dataset
from ipfs_datasets import ipfs_load_dataset
from ipfs_datasets import auto_download_dataset
from ipfs_faiss import IpfsFaissDataset
s3cfg = {
"bucket": "cloud",
"endpoint": "https://storage.googleapis.com",
"secret_key": "",
"access_key": ""
}

model = AutoModel.from_auto_download(
"bge-small-en-v1.5",
s3cfg=s3cfg
)
dataset = load_dataset.from_auto_download(
dataset_name="Caselaw_Access_Project_JSON",
s3cfg=s3cfg
)
knnindex = ipfs_download_faiss_index.from_auto_download(
dataset_name="Caselaw_Access_Project_FAISS_index",
s3cfg=s3cfg
)
index = FaissIndex(dimension=512)
embeddings = dataset['embeddings']
query = "What is the capital of France?"
query_vector = model.encode(query)
scores, neighbors = index.search(query_vectors, k=10)

The following JSON files have been uploaded to web3storage
https://huggingface.co/datasets/endomorphosis/Caselaw_Access_Project_JSON
or use this pin syncer notice the pins located in pin_store
python3 upload_pins.py

will upload them to web3storage, pinata, filebase, and lighthouse storage
and there will instear be a web3storage_pins.tsv file with the new pins to import into datasets
... but only web3stoage is working right now.
IPFS Huggingface Bridge:
for huggingface datasets python library visit:
https://github.com/endomorphosis/ipfs_datasets/
for transformers python library visit:
https://github.com/endomorphosis/ipfs_transformers/
for transformers js client visit:
https://github.com/endomorphosis/ipfs_transformers_js/
for orbitdbkit nodejs library visit:
https://github.com/endomorphosis/orbitdb_kit/
for fireproof_kit nodejs library visit:
https://github.com/endomorphosis/fireproof_kit
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

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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