# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("nfhakim/sentiment-analysis-c1")
model = AutoModelForSequenceClassification.from_pretrained("nfhakim/sentiment-analysis-c1")Quick Links
This is the first 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-c1")
config = BertConfig.from_pretrained("nfhakim/sentiment-analysis-c1")
model = BertForSequenceClassification.from_pretrained("nfhakim/sentiment-analysis-c1", config=config)
How to use
from transformers import pipeline
nlp = pipeline("text-classification", model="nfhakim/sentiment-analysis-c1")
results = nlp("Your input text here")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nfhakim/sentiment-analysis-c1")