Instructions to use nfhakim/sentiment-analysis-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nfhakim/sentiment-analysis-c2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nfhakim/sentiment-analysis-c2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nfhakim/sentiment-analysis-c2") model = AutoModel.from_pretrained("nfhakim/sentiment-analysis-c2") - Notebooks
- Google Colab
- Kaggle
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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