Im using a pre-trained tokeniser and a fine-tuned model.
With the same model, when I create pipeline, my results differ both the time.
tokenizer = AutoTokenizer.from_pretrained("huggingface/CodeBERTa-small-v1")
mymodelclf  = TextClassificationPipeline(model=model, tokenizer = tokenizer,return_all_scores = True )
print (mymodelclf( negative_samples ) ) 

The same code is run twice, but 2 different results are obtained. Is this expected?
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