With the latestTensorRT8.2, we optimized T5 and GPT-2 models for real-time inference. You can turn the T5 or GPT-2 models into a TensorRT engine, and then use this engine as a plug-in replacement for the original PyTorch model in the inference workflow. This optimization leads to a 3–...
Today, we’re introducing an open source training example to fine-tune the Hugging Face PyTorch GPT-2 model, where we see a speedup of 34% when training using the ONNX Runtime. We’re also sharing recently-released updates to the ONNX Runtime Training feature that further i...
验证transformers库的版本是否支持modeling_tf_gpt2模块: 某些transformers库的旧版本可能不包含modeling_tf_gpt2模块。你可以通过以下命令查看当前安装的版本: bash pip show transformers 然后,访问transformers库的官方GitHub仓库或官方文档,查看modeling_tf_gpt2模块是在哪个版本中被引入的。如果当前版本不支持,你需要...
2 changes: 1 addition & 1 deletion 2 models/TimeLLM.py @@ -134,7 +134,7 @@ def __init__(self, configs, patch_len=16, stride=8): 'google-bert/bert-base-uncased', trust_remote_code=True, local_files_only=False, config=self.gpt2_config, config=self.bert_config, ) try: 4 ...
, these projects involve using ML models based on public data or ones that do not require specific environment settings (e.g., on-device processing). Additionally, projects without stringent security or privacy requirements can also benefit from accessible model APIs like GPT-4 or PaLM 2....
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU. - Tencent/TurboTransformers
上海AI Lab:1BLLM超越405B | 测试时扩展(Test-Time Scaling)是通过在推理阶段使用额外计算来提高大语言模型(LLM)性能的重要方法。然而,目前的研究并没有系统地分析策略模型、过程奖励模型和问题难度如何影响测试时扩展。这种分析的缺乏限制了对测试时扩展方法的理解和实际应用。在这项工作中,来自上海 AI Lab、清华...
/bin/bash# 从data_validation.txt文件中提取需要处理的行,并将结果保存到temp.txt文件中grep -E"ORACLEDB|POSTGRES"data_validation.txt > temp.txt# 逐行读取temp.txt文件whileIFS=read-r line;do# 提取倒数第二列的时区信息timezone=$(echo"$line"| awk -F'|''{print $3}'| awk'{print substr($0,...
load_checkpoint: "gpt2/13b/cluster_16p/out" use_flash_attention: True 启动微调 host1执行: cd scripts sh run_distribute.sh ./hccl_8.json configs/gpt2/run_gpt2_13b_910b.yaml [0,8] finetune 验证微调是否成功 验证微调性能达标 验证微调loss收敛 ...
\GPT-SoVITS-v2\runtime\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "E:\GPT-SoVITS-v2\runtime\lib\site-packages\onnxruntime\capi\onnxruntime_inference_...