from huggingface_hub import snapshot_download model_path = "./download/" #模型下载路径,可以改为你自己的,你可以在colab上创建一个download文件夹,将模型下载于此 snapshot_download(repo_id="bert-base-uncased", local_dir=model_path) 填入前面获取的fresh_token from aligo import Aligo refresh_token = ...
AAA/BBB是HugglingFace官网复制的模型的名字,比如说hfl/rbt3或者distilbert/distilbert-base-uncased-finetuned-sst-2-english之类的。 也可以使用--local-dir指定下载路径。 然后调用模型就是按照官网教的方式: # 使用Auto方法 from transformers import AutoModel, AutoTokenizer model = AutoModel.from_pretrained(...
Because when I used langchain with huggingface pipeline + multi gpu, many error occurred(I didn't have enough time for fix these errors). There is no problem with using huggingface repo model with vLLM, but when I changed huggingface model_id to local model path, vLLM checked the model ...
将hugging face的权重下载到本地,然后我们之后称下载到本地的路径为llama_7b_localpath 【
可以通过设置TRANSFORMERS_CACHE环境变量控制模型的保存路径,详情见 HelloWorld:huggingface 模型下载与离线...
This tells the library to use local files only. You can read more about it on Hugging Face Installation - Offline Mode from transformers import RobertaTokenizer tokenizer = RobertaTokenizer.from_pretrained('Model_Path') The path should be the location path of the model folder from the current...
url = 'https://huggingface.co/'+model+'/tree/main' # 替换为要分析的网页URL https://huggingface.co/gpt2/tree/main/onnx startString = "/"+model+"/resolve" pathString = "/"+model+"/tree/main/" def get_last_part_before_slash(s): ...
): 1.12.0+cu102(True)-`Accelerate`default config: -compute_environment: LOCAL_MACHINE ...
config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) File "/usr/local/lib/python3.9/dist-packages/transformers/configuration_utils.py", line 573, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path,...
在执行tokenizer.save_pretrained("local-pt-checkpoint")时,输出如下: 接下来我们可以在本地磁盘上看到保存下来的模型文件及相关配置: 一旦checkpoint被保存,我们可以通过将transformers.ONNX包的--model参数指向所需的目录将其导出到ONNX: python -m transformers.onnx --model=local-pt-checkpoint onnx/ ...