from .blocks import FeatureFusionBlock, _make_scratch import torch.nn.functional as F from huggingface_hub import PyTorchModelHubMixin, hf_hub_download from depth_anything.blocks import FeatureFusionBlock, _make_scratch def _make_fusion_block(features, use_bn, size = None): @@ -164,7 +166,...
from datasets import load_dataset dataset = load_dataset("parquet", data_files={'train': 'train.parquet', 'test': 'test.parquet'}) 要通过 HTTP 加载远程镶木地板文件,您可以传递 URL: base_url = "https://storage.googleapis.com/huggingface-nlp/cache/datasets/wikipedia/20200501.en/1.0.0/"...
I found several threads that dealt with the same error message, but my case seems to be different. In the other threads I encountered, there was actually not enough memory to allocate. I want to load a pre-trained transformer onto a GPU, but even trying to load the model results into...
报错代码: from datasets import load_dataset dataset = load_dataset('oscar', 'unshuffled_deduplicated_it') 经典报错:Couldn't reachhttps://huggingface.co/datasets/codeparrot/self-instruct-starcoder/resolve/fdfa8ceb317670e982aa246d8e799c52338a74a7/data/curated-00000-of-00001-c12cc48b3c68688f.pa...
So, I went to the model hub: https://huggingface.co/models I found the model I wanted: https://huggingface.co/bert-base-cased I downloaded it from the link they provided to this repository: Pretrained model on English language using a masked language modeling (MLM) objective. It was ...
Unity MLAgents x 🤗 : Load from Hub This repository contains prefabs, scripts, and UI elements for your Unity project, allowing you to easily load ML-Agents models from the Hugging Face Hub using the Hugging Face Hub API. Provided Versions LoadOneModelFromHub-v2: When you want to load ...
手动下载huggingface.co的模型并修改测试代码: import torch from transformers import BertModel, BertTokenizer, BertConfig dir_path="/home/devil/.cache/huggingface/hub/models--bert-base-chinese/snapshots/8d2a91f91cc38c96bb8b4556ba70c392f8d5ee55/"# 首先要import进来 ...
我正在使用Huggingface进一步训练BERT模型。我使用两种方法保存模型:步骤(1)使用以下代码保存整个模型:model.save_pretrained(save_location),以及步骤(2)使用以下代码保存模型的state_dict:torch.save(model.state_dict(),'model.pth')然而,当我尝试使用步骤(1)的代码bert_mask_lm = BertForMaskedLM.from_pretrained...
模型介绍参见https://huggingface.co/docs/transformers/main/model_doc/pegasus,模型是在论文《PEGASUS: Pre-training with Extracted Gap-sentences forAbstractive Summarization》中提出的,作者:Jingqing Zhang。基本思想是,PEGASUS 在预训练阶段,将输入的文档的重要句子 remove/mask,通过其它的句子预测生成,类似于摘要生...
Can't load "bert-base-cased" model from huggingface - Kaggle I was trying to load a transformers model from huggingface in my local jupyter notebook and here's the ... OSError: Can't load config... Read more > huggingface load local model - You.com | The AI Search ... ...