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 ...
Hugging Face教程 - 5、huggingface的datasets库使用 介绍 本章主要介绍Hugging Face下的另外一个重要库:Datasets库,用来处理数据集的一个python库。当微调一个模型时候,需要在以下三个方面使用该库,如下。 从Huggingface Hub上下载和缓冲… bookn...发表于深度学习代... Huggingface详细入门介绍之dataset库 之前在更...
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...
针对你提出的 RuntimeError: Failed to load the model config. If the model is a custom model not yet available in the HuggingFace transformers library, consider setting trust_remote_code=Truein LLM or using the--trust-remote-code flag in the CLI. 错误,我们可以从以下几个方面进行解答: 1. 识...
Unfortunately I cannot load from remote as part of this step Load a remote model from HuggingFace's model hub reader = FARMReader(model_name_or_path="deepset/roberta-base-squad2") Since I am behind firewall . I need to download the model on local and convert/load it ...
model = CamembertForMaskedLM.from_pretrained("camembert-base") 1. 2. 3. 4. 然而,我们建议使用Auto*类,因为它们设计上是架构无关的。以下是使用Auto*类的示例,这样可以更方便地切换检查点: from transformers import AutoTokenizer, AutoModelForMaskedLM ...
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 ...
cd tensorrtllm_backend/tensorrt_llm/examples/llama pip install -U "huggingface_hub[cli]" huggingface-cli login huggingface-cli download meta-llama/Meta-Llama-3-8B --local-dir ./Meta-Llama-3-8B --local-dir-use-symlinks False python3 convert_c...
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...
First of all, thank you for maintaining and upgrading this great project! Describe the bug When loading a model via PyTorch hub, it failed to import container_abcs from torch._six which looks not available in the latest version of torch...