PR Summary Small PR - Opens the Jupyter notebooks in Google Colab instead of another link to notebook. Open Jupyter notebooks in Google Colab … Verified 65b1200 Copy link Author emmanuel-ferdman commented Mar
挂载Google云端硬盘 from google.colab import drive import os drive.mount('/content/drive') data_di...
"name":"Open in Colab", "description":"Open a Github-hosted notebook in Google Colab", "version":"1.0.1", "version_name":"1.0.1", "manifest_version":2, "icons": { "16":"images/icon16.png", "32":"images/icon32.png", ...
In the link, addtocolabaftergithub. 1 githubtocolab.com/tensorflow/agents/blob/master/tf_agents/colabs/0_intro_rl.ipynb A Google Colab page with the jupyter notebook will open! Behind the Scenes Last week, I read this fromthe official Colab GitHub Demo: I thought that it would be lot e...
如果您正在google的colab中打开这个notebook,您可能需要安装Transformers和🤗Datasets库。将以下命令取消注释即可安装。 ! pip install datasets transformers rouge-score nltk 1. 分布式训练请查看这里. 微调transformer模型解决摘要生成任务 在本notebook中,我们将展示如何微调🤗 Transformers中的预训练模型来解决摘要生成...
In this post, we want to show how to use Stable Diffusion with the Diffusers library, explain how the model works and finally dive a bit deeper into how diffusers allows one to customize the image generation pipeliner/> <Truncated for brevity…. SeeGoogle Colab notebookfor complete prompt> ...
OpenLLM 提供了一个内置的 Python 客户端,允许您与模型进行交互。在不同的终端窗口或 Jupyter notebook 中,创建一个客户端以开始与模型交互: ```python import openllm client = openllm.client.HTTPClient('http://localhost:3000')client.query('Explain to me the difference between"further"and"farther"')...
We perform a first search for the purpose of recalibrating the mass scale as a function of elution time (Fig.3e). Here, we use weighted nearest neighbor regression instead of binning by retention time (explained in the accompanying Jupyter Notebook). The k-nearest neighbors regressor that we ...
https:///camenduru/text-generation-webui-colab 一些开源LLM的notebook 至于为啥要选LLAMA,因为当前基于LLAMA的模型很多,基础的llama的效果也不错,当然RWKV也很不错,我也一直在看。 具体的可以看这里,https:///spaces/HuggingFaceH4/open_llm_leaderboard ...
OpenLLM 提供了一个内置的 Python 客户端,允许您与模型进行交互。在不同的终端窗口或 Jupyter notebook 中,创建一个客户端以开始与模型交互: import openllm client = openllm.client.HTTPClient('http://localhost:3000') client.query('Explain to me the difference between "further" and "farther"') ...