oubahe

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> > > > 是的 > > > > > > > > > 您好,我最近发现一个比较大的问题,您给出训练好的模型graphcast.pt 与 graphcast_sequential.py中定义的模型结构并不相同,导致参数都加载不上。如图,graphcast.pt中的网络参数与graphcast_sequential.py中定义的数量并不相同,graphcast.pt中有58个,而graphcast_sequential.py中定义有70个。 ![image](https://user-images.githubusercontent.com/56792866/246019158-cb2ecca4-c963-437a-8c19-5adbd6696bf0.png) > > > > > > 也就说,仓库中放出的graphcast.pt模型,并不是由给出的train_graphcsat.py训练的是吗? > > The weights and...

> > > > > > 是的 > > > > > > > > > > > > > > > 您好,我最近发现一个比较大的问题,您给出训练好的模型graphcast.pt 与 graphcast_sequential.py中定义的模型结构并不相同,导致参数都加载不上。如图,graphcast.pt中的网络参数与graphcast_sequential.py中定义的数量并不相同,graphcast.pt中有58个,而graphcast_sequential.py中定义有70个。 ![image](https://user-images.githubusercontent.com/56792866/246019158-cb2ecca4-c963-437a-8c19-5adbd6696bf0.png) > > > >...

> Thanks to @VachelHU for providing the code and the names of extra channels. But, the sine and cosine of the local time of day is implemented in > >...

> > > Thanks to @VachelHU for providing the code and the names of extra channels. But, the sine and cosine of the local time of day is implemented in...

> ``` > import datetime > import math > import pandas as pd > import xarray > > def getTrigVals(dt:datetime.datetime): > > DAY_IN_SECONDS = 24 * 60 * 60 >...

竞赛数据集应该是公开的,为了节约大家的时间,我明天上午将csv格式的数据上传至project | | oubahe 邮箱:[email protected] | Signature is customized by Netease Mail Master On 05/13/2019 20:33, narutomst wrote: 数据呢,没数据该怎么学习?请作者也能上传一下数据 — You are receiving this because you are subscribed to this...

> Hello author, can you provide data sheets?i really need it. dataset is uploaded. Happy to use !

> 数据呢,没数据该怎么学习?请作者也能上传一下数据 dataset is uploaded,clone and download is ok.

> Hello author, can you provide data sheets?i really need it. Hello, dear reader! The original dataset of our project has loaded, which is named as "csv" file. Please view...

from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent from transformers import AutoModelForCausalLM, AutoTokenizer from transformers.generation.utils import GenerationConfig from langchain.llms.base import LLM from typing import List, Optional from loguru import logger import torch model_path =...