关于push_to_hub()的详细用法,可以参考Share a model (huggingface.co)。 2. 使用huggingface_hub包 huggingface_hub是一个python包,提供了很多操作Hub的方法,和push_to_hub()方法一样,在使用huggingface_hub包之前,也需要先生成token,具体方式参考前文。 下面将本章会用到的huggingface_hub中方法列在下面: from...
4.1.2 第二步:开启上传 push_to_hub=True 训练模型时,在定义训练参数的时候,配置 push_to_hub=True,这样训练好之后可以自动上传。 fromtransformersimportTrainingArguments# 还可以加入组织/公司名称,比如 hub_model_id = "my_organization/my_repo_name".training_args=TrainingArguments("bert-finetuned-mrpc",...
How can I prevent this? Here is what I am simply doing: model.push_to_hub(new_model, use_temp_dir=False) tokenizer.push_to_hub(new_model, use_temp_dir=False) Wauplintransferred this issue from huggingface/huggingface_hubSep 5, 2023 ...
peft_model_id = "aben118/test" model.push_to_hub(peft_model_id) 我遇到以下错误,但无法找出原因。 NotADirectoryError:[Errno 20]不是目录:'/u/hys4qm/.conda/envs/whisper/lib/python3.9/site-packages/huggingface_hub-0.20.3-py3.8.egg/huggingface_hub/templates/ modelcard_template.md' 注意:我...
🤱 再也不用担心下载不了数据集啦! 🤔 PS: 目前还有不少上传下载的问题没有解决: 初始化数据集下载是容易ConnectionError,这个可能需要调节timeout或者使用特殊上网方式 push_to_hub没有断点续存和 retry 的机制 如果大家有什么更好的解决方案,欢迎交流 😃...
fromhuggingface_hubimportnotebook_login notebook_login() Tokenisvalid. Your token has been savedinyour configured git credential helpers (store). Your token has been savedto/root/.cache/huggingface/token Login successful 加载IMDb 数据集 开始从 Datasets 库中加载 IMDb 数据集 🤗 : ...
evaluation_strategy ="epoch",learning_rate=2e-5,weight_decay=0.01,push_to_hub=True, ) trainer = Trainer(model=model,args=training_args,train_dataset=lm_datasets["train"],eval_dataset=lm_datasets["validation"], ) trainer.train() 训练完成后,评估以如下方式进行: ...
push_to_hub=True, ) trainer = Trainer( model=model, args=training_args, train_dataset=lm_datasets["train"], eval_dataset=lm_datasets["validation"], ) trainer.train() 训练完成后,评估以如下方式进行: import math eval_results = trainer.evaluate() ...
I noticed I can't push the LFS files associated with Keras models anymore. What's interesting is that I'm experiencing the same issue on older versions of huggingface_hub (0.4.0) as well as new versions (0.5.1). Here is a minimal example to recreate the issue: import tensorflow as ...
_rate=2e-5,per_device_train_batch_size=16,per_device_eval_batch_size=16,num_train_epochs=1,weight_decay=0.01,push_to_hub=True,)trainer=Trainer(model=model,args=training_args,train_dataset=train_set,eval_dataset=test_set,tokenizer=tokenizer,data_collator=data_collator,)trainer.push_to_hub(...