tokenizer= AutoTokenizer.from_pretrained(model_path, use_fast=False)ifmodel_path.endswith("4bit"): model=AutoModelForCausalLM.from_pretrained( model_path, load_in_4bit=True, torch_dtype=torch.float16, device_map='auto')elifmodel_path.endswith("8bit"): model=AutoModelForCausalLM.from_pret...
per_device_train_batch_size=16, per_device_eval_batch_size=16, num_train_epochs=2, weight_decay=0.01, evaluation_strategy="epoch", save_strategy="epoch", load_best_model_at_end=True, push_to_hub=True,)trainer = Trainer( model=model, args=training_...
一、Load dataset 1.1 Hugging Face Hub 1.2 本地和远程文件 1.2.1 CSV 1.2.2 JSON 1.2.3 text 1.2.4 Parquet 1.2.5 内存数据(python字典和DataFrame) 1.2.6 Offline离线(见原文) 1.3 切片拆分(Slice splits) 1.3.1 字符串拆分(包括交叉验证) 1.4 Troubleshooting故障排除 1.4.1手动下载 1.4.2 Specify fe...
结合第一步的相对地址填入参数【model_addr】中 创建Hub_download.py文件代码内容如下: from huggingface_hub import snapshot_download #自行选择模型,自行修改下面参数(第一步的相对地址) model_addr = 'Qwen/Qwen1.5-1.8B-Chat' #提取模型库名和模型名称 model_repo = model_addr.split('/')[0] model_nam...
We will utilize the Meta Llama model, signup, and request for access. Create Hugging Face token To create an Access token that will be used in the future, go to your Hugging Face profile settings and select Access Token from the left-hand sidebar (Figure 1). Save the value of the crea...
Model ID model_id True string The model identifier. Inputs inputs True string The inputs. Query query string The query. Use Cache use_cache boolean Whether to use cache. Wait For Model wait_for_model boolean Whether to wait for model. Returns The response object. Response object Run...
transformers目前已被广泛地应用到各个领域中,hugging face的transformers是一个非常常用的包,在使用预训练的模型时背后是怎么运行的,我们意义来看。 以transformers=4.5.0为例 基本使用: fromtransformersimportBertModel model = BertModel.from_pretrained('base-base-chinese') ...
Transformers 库是 Hugging Face 最著名的贡献之一,它最初是 Transformer 模型的 pytorch 复现库,随着不断建设,至今已经成为 NLP 领域最重要,影响最大的基础设施之一。该库提供了大量预训练的模型,涵盖了多种语言和任务,成为当今大模型工程实现的主流标准,换句话说,如果你正在开发一个大模型,那么按 Transformer 库的...
We spoke to Hugging Face's Aymeric Roucher, who leads the Open Deep Research project, about the team's choice of AI model. "It's not 'open weights' since we used a closed weights model just because it worked well, but we explain all the development process and show...
Hugging Face Hub 中的某些数据集提供了调用load_dataset时下载和生成的数据的大小。 在使用load_dataset下载数据集之前,可以使用load_dataset_builder来了解大小。 Python fromdatasetsimportload_dataset_builderfrompsutil._commonimportbytes2humandefprint_dataset_size_if_provided(*args, **kwargs):dataset_builder ...