首先需要将自己需要使用的数据集zip文件解压到矩池云网盘或者机器中其他目录(存到网盘后下次可以直接使用),使用数据集时在代码抬头添加代码from datasets import load_from_disk,并将代码中加载数据集函数load_dataset更改为load_from_disk(数据集存放路径)即可。部分数据集需指定Subset。 以使用dbpedia_14数据集为例子...
from datasets import load_dataset # 下载的数据集名称, model_name = 'keremberke/plane-detection' # 数据集保存的路径 save_path = 'datasets' #name参数为full或mini,full表示下载全部数据,mini表示下载部分少量数据 dataset = load_dataset(model_name, name="full") dataset.save_to_disk(save_path) 1....
首先需要将自己需要使用的数据集zip文件解压到矩池云网盘或者机器中其他目录(存到网盘后下次可以直接使用),使用数据集时在代码抬头添加代码from datasets import load_from_disk,并将代码中加载数据集函数load_dataset更改为load_from_disk(数据集存放路径)即可。部分数据集需指定Subset。 以使用dbpedia_14数据集为例子...
I am trying to load LLM from the local disk of my laptop which is not working. when i try to load with the following approach its working as expected and i am getting response to my query. def load_llm(): # Load the locally downloaded model here llm = CTransformers( model = "TheB...
--modelMODELModelIDon huggingface.co or path on disk to load model from.--featureFEATUREThe typeoffeatures toexportthe modelwith.--opsetOPSETONNXopset version toexportthe modelwith.--atolATOLAbsolute difference tolerance when validating the model.--framework{pt,tf}The framework to usefortheONNX...
model_id = "philschmid/flan-t5-xxl-sharded-fp16" # load model from the hub model = AutoModelForSeq2SeqLM.from_pretrained(model_id, load_in_8bit=True, device_map="auto") 现在,我们可以使用 peft 为LoRA int-8 训练作准备了。 from peft import LoraConfig, get_peft_model, prepare_model_...
首先需要将自己需要使用的数据集zip文件解压到矩池云网盘或者机器中其他目录(存到网盘后下次可以直接使用),使用数据集时在代码抬头添加代码from datasets import load_from_disk,并将代码中加载数据集函数load_dataset更改为load_from_disk(数据集存放路径)即可。部分数据集需指定Subset。
[--export_with_transformers]outputpositional arguments:output Path indicating where to store generated ONNX model.options:-h, --help show this help message and exit-m MODEL, --model MODELModel ID on huggingface.co or path on disk to load model from.--feature FEATURE The type of features ...
dataset.save_to_disk('./') 1. from datasets import load_from_disk dataset = load_from_disk('./') 1. 2. 3. 评价指标 Evaluate 安装Evaluate库: pip install evaluate 1. (1)加载 import evaluate accuracy = evaluate.load("accuracy") ...
If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True. What should I do differently to get huggingface to use my local pretrained model? Update to address the comments YOURPATH = '/somewhere/on/disk/' name = 'transfo-xl-wt103' tokenizer = TransfoXL...