This is the code where the error occurs def__load_model(self,model_name):try:model=joblib.load(model_name)print("Model Loaded!")returnmodelexcept:print("Error loading the model") since the model isn't loaded the below error appears 2023-01-1308:09:28,362:Exceptionon/model[POST]Traceback...
Hi, I trained and saved a model using joblib on Kaggle, the model was saved and loaded successfully. but, after downloaded the file of the saved model to use it in anaconda I got an error “file couldn’t be opened successfully” Reply James Carmichael April 9, 2023 at 7:09 am # ...
externals import joblib kmean = joblib.load('filename.pkl') kmean.predict(dump['data']) kmean.fit(dump['data']) kmean.predict(dump['data']) Expected Results predicted values or at least option to retrain model Actual Results not trained model: Traceback (most recent call last): File ...
using a model oftypellava to instantiate a model oftypellava_llama. This is not supportedforall configurations of models and can yield errors. The argument`trust_remote_code`is to be used with Auto classes. It has no effect here and is ignored. /root/miniconda3/envs/lmdeploy/lib/python...
data_dir, "metadata.joblib") if os.path.exists(metadata_filename): tasks, metadata_df = load_from_disk(metadata_filename) del metadata_df['task_names'] del metadata_df['basename'] save_metadata(tasks, metadata_df, self.data_dir) return tasks, metadata_df raise ValueError("No Metadata ...
classifyExamples = self.getExampleFile(classifyExamples, dummy=dummy)# Return a new classifier instance for following the training process and using the modelclassifier = copy.copy(self) classifier.parameters = parameters classifier._filesToRelease = [examples, classifyExamples]ifnotos.path.exists(outDi...
You can now use thedefaultWksLicenseTypeoption to specify the default licensing model to be applied toIBM Workload Schedulerworkstations. In a Docker environment, this causes all workstations to be created with the value assigned to thedefaultWksLicenseTypeoption. For more information, seethe sect...
错误似乎是在告诉您正在尝试使用CUDA，但没有可用的设备（例如GPU）。你说你使用的是MacBook，我认为...
def like(self): # like and dislike Tinder profiles using your trained logistic # model. Note this requires that you first run tindetheus browse to # build a database. Then run tindetheus train to train a model. # load the pretrained model self.model = joblib.load('log_reg_model.pkl...
model = joblib.load(saved_model_dir +'svm_model.pk1') lexicons = joblib.load(saved_model_dir +'lexicons.pickle')returnmodel, char_vectorizer, word_vectorizer, lexicons 开发者ID:adamchandra,项目名称:plant_jones,代码行数:7,代码来源:sentiment_analysis_model.py ...