Pipeline inference with Dataset api
I am running inference using the pipeline api. But I get the following warning which recommends using the Dataset api. How can I do so?transformers4/lib/python3.8/site-packages/transformers/pipelines/base.py:899: 
UserWarning: You seem to be using the pipelines sequentially on GPU. 
In order to maximize efficiency please use a dataset
  warnings.warn()sentiment_analysis = pipeline("sentiment-analysis", model="siebert/sentiment-roberta-large-english", device=0)

def roberta_sent(verb):
    
    result = sentiment_analysis(verb)[0]    
            
    return result["label"], result["score"]



df = pd.read_csv(file)

df["roberta_sentiment"] = df["sentences"].apply(roberta_sent)
2022-03-23T14:22:04Z
Hi, I came across this warning as well. By any chance did you find a solution?
2022-03-30T18:26:16Z
I found the following help in the documentation, but I haven’t implemented yet because I’m just doing a POC with 50 documents. Sharing now in case it helps you get started!huggingface.coPipelinesWe’re on a journey to advance and democratize artificial intelligence through open source and open science.
2022-05-12T15:09:27Z
Having same issue while using T5-base-grammar-correction for grammer correction on my dataframe with text columnrom happytransformer import HappyTextToText
from happytransformer import TTSettings
from tqdm.notebook import tqdm
tqdm.pandas()

happy_tt = HappyTextToText("T5",  "./t5-base-grammar-correction")
beam_settings =  TTSettings(num_beams=5, min_length=1, max_length=30)
def grammer_pipeline(text):
    text = "gec: " + text
    result = happy_tt.generate_text(text, args=beam_settings)
    
    return result.text

df['new_text'] =  df['original_text'].progress_apply(grammer_pipeline)It runs very slow and provides the User  Warning/home/.local/lib/python3.6/site-packages/transformers/pipelines/base.py:908: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset
  UserWarning,How to implement this to efficiently utilise GPUs?
2022-12-14T17:36:00Z
What about you, have you found any solution yet?
2023-11-15T16:12:26Z
Hi, I have met the same question. Run very slowly and present this warning. Is there any solution now?