The situation: I've downloaded the huge models on my server. And hope vllm could load the model. the structure of the model dir: $ ls /data/vllm.model/01ai/Yi-34B-200K/ LICENSE generation_config.json pytorch_model-00004-of-00007.bin toke...
rem This script takes a URL as an argument and downloads the file using aria2c rem Usage: mydownloader.bat https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors?download rem This will get the last parameterin%last% ...
CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测(Scene Text Detection)、数学公式检测(Mathematical Formula Detection, MFD)、篇章分析(Layout Analysis)的Python3 包 - use `hf_hub_download` to download model files from huggingface · breezedeus/CnSTD
1.使用hg官方snapshot#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2023/09/20 17:06 # @Author : young.ruan # @File : download_model.py import os from huggingface_hub import snapshot_downloa…
compile(r"^[a-zA-Z0-9._-]+$") if not pattern.match(branch): raise ValueError( "Invalid branch name. Only alphanumeric characters, period, underscore and dash are allowed.") return model, branch def get_download_links_from_huggingface(self, model, branch, text_only=False, ...
服务器运行huggingface-cli download --helps可以看到参数详解: usage: huggingface-cli <command> [<args>] download [-h] [--repo-type {model,dataset,space}] [--revision REVISION] [--include [INCLUDE ...]] [--exclude [EXCLUDE ...]] [--cache-dir CACHE_DIR] [--local-dir LOCAL_DIR] [...
The model is available for download on HuggingFace. Click here to download theSDXL 1.0 base model. What is SDXL Turbo? SDXL Turbo is a state-of-the-art text-to-image generation model from Stability AI that can create 512×512 images in just 1-4 steps while matching the quality of top...
from mteb import MTEB, DRESModel class RetrievalModel(DRESModel): def __init__(self, encoder, **kwargs): self.encoder = encoder def encode_queries(self, queries: List[str], **kwargs) -> np.ndarray: input_texts = ['{}'.format(q) for q in queries] ...
(c)知识问答:通过文档解析引擎与层级切片技术,利用acge生成向量索引,定位文件内容,实现精准问答。 更多模型细节,可以到项目地址查看: 链接:https://huggingface.co/aspire/acge_text_embedding 模型API调用
'merlrav': 'https://huggingface.co/aprados/spiga/resolve/main/spiga_merlrav.pt?download=true', 'cofw68': 'https://huggingface.co/aprados/spiga/resolve/main/spiga_300wprivate.pt?download=true'} class ModelConfig(object): 0 comments on commit 656f90a Please sign in to comment. Footer...