1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 #!/bin/sh if [ "$#" -ne 1 ]; then echo "You must enter the model name as a parameter, e.g.: sh download_model.sh 117M" exit 1 fi model=$1 mkdir -p models/$model # TODO: gsutil rsync -r gs://gpt-2/models/ model...
如何用nshepperd 的 gpt-2 库来 finetune 模型步骤一:下载项目:git clone https://github.com/nshepperd/gpt-2 步骤二:安装所需环境:pip install -r requirements.txt 步骤三:准备模型:python download_model.py 345M 步骤四:准备数据。放到/data目录下 步骤五:finetune【根据机器训练速度会不同,但基本上两...
pip install gpt2-client 下载模型权重和检查点: from gpt2_client import GPT2Client gpt2 = GPT2Client(’117M’, save_dir = ‘models’)# 想用 345M 模型,就换成 ‘345M’ gpt2.download_model(force_download = False)# 使用缓存(如果有)。将 force_download 设置成 true 能重新下载文件 经过这...
命令说明:下载GPT-2模型并在当前目录(C:\Users\Administrator>)下创建文件"gpt2",本人地址参考:"C:\Users\Administrator\gpt2" gpt2模型文件完整内容参考: 下面是验证gpt2模型是否完整的Python代码 from transformers import GPT2Tokenizer, GPT2LMHeadModel import torch # 定义模型路径 model_path = 'E:\\\Pyt...
from gpt2_client import GPT2Clientgpt2 = GPT2Client（’117M’, save_dir = ‘models’）# 想用 345M 模型，就换成 ‘345M’gpt2.download_model（force_download = False）# 使用缓存（如果有）。将 force_download 设置成 true 能重新下载文件 经过这一步，当前工作目录中会生成一个名为 models 的...
I concatenated the URL tohttps://gpt4all.io/models/ggml-model-gpt4all-falcon-q4_0.binand i tried other models like this onehttps://gpt4all.io/models/nous-hermes-13b.ggmlv3.q4_0.bin, but i'm still getting this error. Do i need to download all of the models individually or do...
Download pretrained models from GPT-SoVITS Models and place them in GPT_SoVITS/pretrained_models. Download G2PW models from G2PWModel_1.1.zip, unzip and rename to G2PWModel, and then place them in GPT_SoVITS/text.(Chinese TTS Only) For UVR5 (Vocals/Accompaniment Separation & Reverberat...
spm_train--input=text_for_tokenizer.txt\--model_prefix=spm_32k_wiki\--vocab_size=32768\--character_coverage=0.9999\--model_type=bpe\--byte_fallback=true\--pad_id=0--unk_id=1--bos_id=2--eos_id=3\--split_digitstrue Completing this step can take some time. After it is done, you...
local_model_path ="D:/Pythonxiangmu/PythonandAI/Transformer Models/gpt-2"tokenizer = AutoTokenizer.from_pretrained(local_model_path)# 确保pad_token已经存在于tokenizer中,对于GPT-2,它通常自带pad_tokeniftokenizer.pad_tokenisNone: special_tokens_dict = {'pad_token':'[PAD]'} ...
download_model.py inputs.py main.py metric_fns.py model_fns.py optimizers.py predict_fns.py README MIT license GPT2 Disclaimer: This is not the official GPT2 implementation! I've done my best to follow the specifications of the original GPT2 model as closely as possible, but be warned...