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