Generic template to bootstrap your PyTorch project.
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Updated
Oct 12, 2023 - Python
Generic template to bootstrap your PyTorch project.
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
The only Vector tooling you'll need. Star the repo and look out for an email to try out a brand new Vector Data Exploration demo! Use the universal VDF format for vector datasets to easily export and import data from all vector databases, and re-embed it using any model
Translate large dataset to any language with google translation api and multithreads processing, no key required!
Pytorch-like dataloaders in JAX.
Retrieves parquet files from Hugging Face, identifies and quantifies junky data, duplication, contamination, and biased content in dataset using pandas
Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.
中文医学多模态大模型 Large Chinese Language-and-Vision Assistant for BioMedicine
huggingface-go : 加速下载 huggingface 的模型和数据集
NLP model that predicts subreddit based on the title of a post
Getting started with Hugging Face
🫁 AeroPath: An airway segmentation benchmark dataset with challenging pathology
Use AI to personify books, so that you can talk to them 🙊
A Python implementation of Toolformer using Huggingface Transformers
High-level API for tar-based dataset
EHRM [ Electronic Health Record Management ] introduces a centralized platform for analyzing patient records, offering insights into billing amounts, demographics, prevalent diagnoses, medical conditions, consulted doctors, admission types, and medication usage.
JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets
diffusion model for unconditional image generation of Bored Apes
Configuration files for building E621-Rising v3 SDXL model and dataset
Fine-tuned and compared 3 🤗 pre-trained Multilingual LLMs
Add a description, image, and links to the huggingface-datasets topic page so that developers can more easily learn about it.
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