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...
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...
Download gpt-2 model: omz_downloader --name gpt-2 omz_converter --name gpt-2 Command used to run the demo: python3 gpt2_text_prediction_demo.py --model=<path_to_model>/gpt-2.xml --vocab=<models_dir>/models/public/gpt-2/gpt2/vocab.json --merges=<models_dir>/models/public/gpt-...
# download the "starter pack" (~1GB download)# contains GPT2-124M weights (used in tests), tokenizer, eval data .bin s ./dev/download_starter_pack.sh # download the training dataset (FineWeb-Edu 100B token) .bin data shards # note: this is a total of 1001 data shards. If you ...
allocated 2971 MiB for model parameters batch_size B=16 * seq_len T=1024 * num_processes=8 and total_batch_size=1048576 => setting grad_accum_steps=8 created directory: log_gpt2_1558M allocating 40409 MiB for activations val loss 11.129390 ...
main.log 文件(http://llmc.s3-us-west-2.amazonaws.com/gpt2_1558M/main.log) model_00032000.bin llm.c bin 模型文件(http://llmc.s3-us-west-2.amazonaws.com/gpt2_1558M/model_00032000.bin) 转换为 huggingface transformers GPT-2 模型(https://huggingface.co/karpathy/gpt2_1558M_final2_h...
allocated 2971 MiB for model parameters batch_size B=16 * seq_len T=1024 * num_processes=8 and total_batch_size=1048576 => setting grad_accum_steps=8 created directory: log_gpt2_1558M allocating 40409 MiB for activations val loss 11.129390 ...
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 ...
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...
pretrained_model_demo.ipynb fix download url 5年前 requirements-gpu.txt init commit 5年前 requirements-tpu.txt init commit 5年前 README Apache-2.0 GPT2 for Multiple Languages 预训练模型 Google Colab 训练 免责声明 Citation Reference GPT2for Multiple Languages ...