xANS-104 DataItems extractor for HuggingFace & SageMaker inference
Project description
Install
pip install xans104
Quick Start
from xans104 import load_model
MODEL_DATAITEM = "gESMyqhLntTn6zvldcUcSf0JfFpGDrQX6JKDKhKVf7k"
tokenizer, model, local_dir = load_model(MODEL_DATAITEM)
outputs = model.generate(**tokenizer("slop it", return_tensors="pt"))
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
load_model streams the .ans104 blob from
https://gateway.s3-node-1.load.network, extracts it into a temporary
directory and returns (tokenizer, model, path) so you can call HF APIs without
handling files yourself.
Upload a HuggingFace repo to Load S3
from xans104 import create_model_dataitem
dataitem_id = create_model_dataitem(
"sshleifer/tiny-gpt2",
token="LOAD_API_TOKEN",
tags={"key-1": "value-1"},
)
print(dataitem_id)
create_model_dataitem downloads the HF snapshot, tars it, sends it to
load-s3-agent, and returns the dataitem_id ready for inference.
License
This repository is licensed under the MIT License
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