# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("nfhakim/sentiment-analysis-c2")
model = AutoModel.from_pretrained("nfhakim/sentiment-analysis-c2")Quick Links
This is the second classification of sentiment analysis for (redacted) task
How to import
import torch
from transformers import BertForSequenceClassification, BertTokenizer, BertConfig
tokenizer = BertTokenizer.from_pretrained("nfhakim/sentiment-analysis-c2")
config = BertConfig.from_pretrained("nfhakim/sentiment-analysis-c2")
model = BertForSequenceClassification.from_pretrained("nfhakim/sentiment-analysis-c2", config=config)
How to use
from transformers import pipeline
nlp = pipeline("text-classification", model="nfhakim/sentiment-analysis-c2")
results = nlp("Your input text here")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nfhakim/sentiment-analysis-c2")