print_trainable_parameters() "trainable params: 2359296 || all params: 1231940608 || trainable%: 0.19151053100118282" 官方文档及教程:huggingface.co/docs/pef 支持查看不同任务的不同大模型支持的Prompt方法,如GPT2支持lora, prefix tuning, p-tuning, prompt tuning, IA3,均可通过PEFT即插即用。
soft prompting的方式是通过学习的方式来获得比较好的prompt,加到语言模型中,并且与原始语言模型是可以分开保存的,这样每个下游的任务,只需要训练一小部分参数就行,目前 soft prompting有三种形式分别是prompt tuning, prefix tuning, and P-tuning,本文讲解prompt tuning,prompt tuning也是prefix tuning的一种简单形式,我...
.pyto download the tiny shakespeare dataset and render it into atrain.binandval.bin, using the OpenAI BPE tokenizer from GPT-2. Unlike OpenWebText this will run in seconds. Finetuning can take very little time, e.g. on a single GPU just a few minutes. Run an example finetuning like...
apply_chat_template(msg, tokenize=False, add_generation_prompt=True) for msg in messages ] image_inputs, video_inputs = process_vision_info(messages) inputs = processor( text=texts, images=image_inputs, videos=video_inputs, padding=True, return_tensors="pt", ) inputs = inputs.to("...
from langchain.embeddings.huggingface import HuggingFaceBgeEmbeddings import os from langchain.chains import RetrievalQA from langchain.llms.chatglm import ChatGLM from langchain.prompts import PromptTemplate embedding_model_dict={ 'ernie-tiny':"nghuyong/ernie-3.0-nano-zh", ...
python run_seq2seq.py prompt_tuning.json You can download a set of the prompts by running the command below: cd attempt wget https://homes.cs.washington.edu/~akari/models/attempt/source_prompts.zip unzip source_prompts rm source_prompts.zip cd .. ...
stable diffusionのinpaintingのdreambooth finetuningのやつ stable diffusion v1.5 inpaint stable diffusion v2 inpaint stable diffusion for webui openjourney openjorney, nijijourneyの使い方、controlnetと組み合わせようとしたがgoogle colab freeのため失敗 huggingface site Meeting meeting recognition whisp...
which in turn leads to more effective actions that help the agent complete complex tasks. Our experiments demonstrate that PreAct outperforms the ReAct approach in accomplishing complex tasks and that PreAct can be co-enhanced when combined with Reflexion methods. We prompt the model with different...
ModelRelease DateMax LengthSystem Prompt Enhancement# of Pretrained TokensMinimum GPU Memory Usage of Finetuning (Q-Lora)Minimum GPU Usage of Generating 2048 Tokens (Int4)Tool Usage Qwen-1.8B 23.11.30 32K ✅ 2.2T 5.8GB 2.9GB ✅ Qwen-7B 23.08.03 32K ❎ 2.4T 11.5GB 8.2GB ✅ Qwen-...
of phonemes before fine-tuning. ## Speech Recognition Expand All @@ -62,4 +62,4 @@ The model was contributed by [cywang](https://huggingface.co/cywang) and [patric The official license can be found [here](https://github.com/microsoft/UniSpeech/blob/main/LICENSE) ![design](https:/...