Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
youtube-comments
podcast
text-embeddings-inference
Instructions to use randomone14/podcast-sentiment-3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use randomone14/podcast-sentiment-3c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="randomone14/podcast-sentiment-3c")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("randomone14/podcast-sentiment-3c") model = AutoModelForSequenceClassification.from_pretrained("randomone14/podcast-sentiment-3c") - Notebooks
- Google Colab
- Kaggle
Ctrl+K