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hyperonym / basaran

Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
MIT License
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build(deps): update huggingface-hub requirement from ~=0.13.4 to ~=0.14.0 #182

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Updates the requirements on huggingface-hub to permit the latest version.

Release notes

Sourced from huggingface-hub's releases.

v0.14.0: Filesystem API, Webhook Server, upload improvements, keep-alive connections, and more

HfFileSystem: interact with the Hub through the Filesystem API

We introduce HfFileSystem, a pythonic filesystem interface compatible with fsspec. Built on top of HfApi, it offers typical filesystem operations like cp, mv, ls, du, glob, get_file and put_file.

>>> from huggingface_hub import HfFileSystem
>>> fs = HfFileSystem()

List all files in a directory


>>> fs.ls("datasets/myself/my-dataset/data", detail=False)
['datasets/myself/my-dataset/data/train.csv', 'datasets/myself/my-dataset/data/test.csv']


>>> train_data = fs.read_text("datasets/myself/my-dataset/data/train.csv")

Its biggest advantage is to provide ready-to-use integrations with popular libraries like Pandas, DuckDB and Zarr.

import pandas as pd

Read a remote CSV file into a dataframe


df = pd.read_csv("hf://datasets/my-username/my-dataset-repo/train.csv")


Write a dataframe to a remote CSV file


df.to_csv("hf://datasets/my-username/my-dataset-repo/test.csv")

For a more detailed overview, please have a look to this guide.

Webhook Server

WebhooksServer allows to implement, debug and deploy webhook endpoints on the Hub without any overhead. Creating a new endpoint is as easy as decorating a Python function.

# app.py
from huggingface_hub import webhook_endpoint, WebhookPayload

@​webhook_endpoint
async def trigger_training(payload: WebhookPayload) -> None:
if payload.repo.type == "dataset" and payload.event.action == "update":
# Trigger a training job if a dataset is updated
...

For more details, check out this twitter thread or the documentation guide.

... (truncated)

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codecov-commenter commented 1 year ago

Codecov Report

Patch and project coverage have no change.

Comparison is base (10e250e) 94.54% compared to head (a154520) 94.54%.

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