针对您遇到的“can't load tokenizer for 'gpt2'”错误,以下是几个可能的解决步骤和检查点: 确认'gpt2' tokenizer的安装情况: 确保您已经安装了transformers库,这是加载Hugging Face模型所必需的。您可以通过以下命令安装它: bash pip install transformers 检查是否已安装GPT-2模型。您可以通过以下命令安装GPT-...
from transformers import GPT2Tokenizer proxies = {'http':'http://my.proxy.com:port', 'https':'https://my.proxy.com:port'} tokenizer = GPT2Tokenizer.from_pretrained("gpt2", proxies=proxies) The tokenizer gets downloaded. However, if I run: from transformers import GPT2LMHeadModel proxies...
gpt给出的最新使用的路径虽然与现在有出入,但浏览博客时发现2022年时huggingface文档中确实给出的是~/.cache/huggingface/transformers/ 综上也就是说早期迭代版本的transformers库下载预训练模型等的缓存地址默认是由变量PYTORCH_TRANSFORMERS_CACHE或者PYTORCH_PRETRAINED_BERT_CACHE给出的,可能是~/.cache/torch/transformers...
I'm wondering why I can't train and load a TFGPT2LMHeadModel from disc (specifically TF, the torch library doesn't seem to work on my machine and I'd like to work with the TF version unless it's absolutely not possible). I can train a Tokenizer just fine (I know there are ...
One of my favorite things is to get a neural net to generate a list of things. And one of the best neural nets to subject to that task is GPT-2, which learned a heck of a lot of things (okay not all of them good) by reading a huge chunk of the internet.
33. ChatGPT can2 0 22 A. create new languages according to the passage. B. make delicious dishes C. translate languages 相关知识点: 试题来源: 解析 33. ChatGPT can be 2022. A. create new languages according to the passage. B. make delicious dishes C. translate languages ...
百度试题 结果1 题目F)2 ChatGPT can help people to do everything 相关知识点: 试题来源: 解析 答案见上 反馈 收藏
tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=4096, download_dir=None, load_format=auto, tensor_parallel_size=1, disable_custom_all_reduce=False, quantization=awq, enforce_eager=False, kv_cache_dtype=auto, device_config...
You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, ...
1. ChatGPT是基于GPT(Generative Pre-trained Transformer)模型的一个应用,而GPT模型是由OpenAI团队在2018年首次提出的。 2. 百度是一家提供搜索引擎、在线广告、云计算等多种互联网服务的公司,而ChatGPT是一个基于人工智能的自然语言处理模型,主要用于生成和理解人类语言。百度的搜索引擎功能、广告平台、云服务等是...