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